Conceptual engineering is thought to face an ‘implementation challenge’: the challenge of securing uptake of engineered concepts. But is the fact that implementation is challenging really a defect to be overcome? What kind of picture of political life would be implied by making engineering easy to implement? We contend that the ambition to obviate the implementation challenge goes against the very idea of liberal democratic politics. On the picture we draw, the implementation challenge can be overcome by institutionalizing (...) control over conceptual uptake, and there are contexts—such as professions that depend on coordinated conceptual innovation—in which there are good reasons to institutionalize control in this fashion. But the liberal fear of this power to control conceptual uptake ending up in the wrong hands, combined with the democratic demand for freedom of thought as a precondition of genuine consent, yields a liberal democratic rationale for keeping implementation challenging. (shrink)

In Risk Management, security issues arise from complex relations among objects and agents, their capabilities and vulnerabilities, the events they are involved in, and the value and risk they ensue to the stakeholders at hand. Further, there are patterns involving these relations that crosscut many domains, ranging from information security to public safety. Understanding and forming a shared conceptualization and vocabulary about these notions and their relations is fundamental for modeling the corresponding scenarios, so that proper security (...) countermeasures can be devised. Ontologies are instruments developed to address these conceptual clarification and terminological systematization issues. Over the years, several ontologies have been proposed in Risk Management and Security Engineering. However, as shown in recent literature, they fall short in many respects, including generality and expressivity - the latter impacting on their interoperability with related models. We propose a Reference Ontology for Security Engineering (ROSE) from a Risk Treatment perspective. Our proposal leverages on two existing Reference Ontologies: the Common Ontology of Value and Risk and a Reference Ontology of Prevention, both of which are grounded on the Unified Foundational Ontology (UFO). ROSE is employed for modeling and analysing some cases, in particular providing clarification to the semantically overloaded notion of Security Mechanism. (shrink)

Enterprise Risk Management involves the process of identification, evaluation, treatment, and communication regarding risks throughout the enterprise. To support the tasks associated with this process, several frameworks and modeling languages have been proposed, such as the Risk and Security Overlay (RSO) of ArchiMate. An ontological investigation of this artifact would reveal its adequacy, capabilities, and limitations w.r.t. the domain of risk and security. Based on that, a language redesign can be proposed as a refinement. Such analysis and redesign (...) have been executed for the risk elements of the RSO grounded in the Common Ontology of Value and Risk. The next step along this line of research is to address the following research problems: What would be the outcome of an ontological analysis of security-related elements of the RSO? That is, can we identify other semantic deficiencies in the RSO through an ontological analysis? Once such an analysis is provided, can we redesign the security elements of the RSO accordingly, in order to produce an improved artifact? Here, with the aid of the Reference Ontology for Security Engineering (ROSE) and the ontological theory of prevention behind it, we address the remaining gap by proceeding with an ontological analysis of the security-related constructs of the RSO. The outcome of this assessment is an ontology-based redesign of the ArchiMate language regarding security modeling. In a nutshell, we report the following contributions: (1) an ontological analysis of the RSO that identifies six limitations concerning security modeling; (2) because of the key role of the notion of prevention in security modeling, the introduction of the ontological theory of prevention in ArchiMate; (3) a well-founded redesign of security elements of ArchiMate; and (4) ontology-based security modeling patterns that are logical consequences of our proposal of redesign due to its underlying ontology of security. As a form of evaluation, we show that our proposal can describe risk treatment options, according to ISO 31000. Finally, besides presenting multiple examples, we proceed with a real-world illustrative application taken from the cybersecurity domain. (shrink)

Conceptual engineering is the method for assessing and improving our representational devices. On its ‘broad-spectrum’ version, it is expected to be appropriately applicable to any of our representation-involving cognitive activities, with major consequences for our whole cognitive life. This paper is about the theoretical foundations of conceptual engineering thus characterised. With a view to ensuring the actionability of conceptual engineering as a broad-spectrum method, it addresses the issue of how best to construe the subject matter of conceptual (...) engineering and successively defends the theses that conceptual engineering should be: (i) About concepts, (ii) psychologically theorised, (iii) as multiply realised functional kinds. Thereby, I claim to theoretically secure and justify the maximum scope, flexibility, and impact for the method of conceptual engineering on our representational devices in our whole cognitive life—in other words, a broad-spectrum version of conceptual engineering. (shrink)

Recently there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching information security. This intelligent tutoring systems target the students enrolled in Advanced Topics in Information Security in the faculty of Engineering and Information Technology at Al-Azhar University in Gaza. Through which the student will be able to study the course and solve related problems. An evaluation of the (...) intelligent tutoring systems was carried out and the results were promising. (shrink)

Data security is, protecting data from ill- conceived get to, utilize, introduction, intrusion, change, examination, recording or destruction. Cloud computing is a sort of Internet-based computing that grants conjoint PC handling resources and information to PCs what's more, different gadgets according to necessity. It is a model that empowers universal, on-request access to a mutual pool of configurable computing resources. At present, security has been viewed as one of the best issues in the improvement of Cloud Computing. The (...) key issue in effective execution of Cloud Computing is to adequately deal with the security in the cloud applications. This paper talks about the part of cryptography in cloud computing to improve the data security. The expectation here is to get bits of knowledge another security approach with the usage of cryptography to secure information at cloud data centers. (shrink)

Integration sustainability outcomes give attention to construction ecology in the design review of urban environments to comply with Earth’s System that is composed of integral parts of the (i.e., physical, chemical and biological components). Naturally, exchange patterns of industrial ecology have consistent and periodic cycles to preserve energy flows and materials in Earth’s System. When engineering topology is affecting internal and external processes in system networks, it postulated the valence of the first-level spatial outcome (i.e., project compatibility success). These (...) instrumentalities are dependent on relating the second-level outcome (i.e., participant security satisfaction). The construction ecology-based topology (i.e., as feedback energy system) flows from biotic and abiotic resources in the entire Earth’s ecosystems. These spatial outcomes are providing an innovation, as entails a wide range of interactions to state, regulate and feedback “topology” to flow as “interdisciplinary equilibrium” of ecosystems. The interrelation dynamics of ecosystems are performing a process in a certain location within an appropriate time for characterizing their unique structure in “equilibrium patterns”, such as biosphere and collecting a composite structure of many distributed feedback flows. These interdisciplinary systems regulate their dynamics within complex structures. These dynamic mechanisms of the ecosystem regulate physical and chemical properties to enable a gradual and prolonged incremental pattern to develop a stable structure. The engineering topology of construction ecology for integration sustainability outcomes offers an interesting tool for ecologists and engineers in the simulation paradigm as an initial form of development structure within compatible computer software. This approach argues from ecology, resource savings, static load design, financial other pragmatic reasons, while an artistic/architectural perspective, these are not decisive. The paper described an attempt to unify analytic and analogical spatial modeling in developing urban environments as a relational setting, using optimization software and applied as an example of integrated industrial ecology where the construction process is based on a topology optimization approach. (shrink)

Although Internet of Things (IoT) devices are being rapidly embraced worldwide, there are still several security concerns. Due to their limited resources, they are susceptible to malware assaults such as Gafgyt and Mirai, which have the ability to interrupt networks and infect devices. This work looks into methods based on machine learning to identify and categorize malware in IoT network activity. A dataset comprising both malware and benign traffic is used to assess different classification techniques, such as Random Forest, (...) XGBoost, Logistic Regression, etc., for multi-class malware detection. After a great deal of empirical testing, XGBoost comes out on top, providing 99.9% recall and accuracy. Both known and unknown malware can be detected by the trained model with remarkable precision. The use of transfer learning, where the XGBoost model is used as a basis for the rapid construction of new malware detection models, is one of the major innovations put forth. This makes it possible to quickly adjust to new dangers. More information about how real-time network traffic can be monitored with the help of the created model to find irregularities and sound the alarm. An intelligent and proactive security solution for IoT environments is offered by the machine learning technique that is being discussed. This is an efficient defense against malware because of its high accuracy, low false positive rate, real-time detection capability, and adaptability to new malware varieties changing risks associated with IoT. The suggested methods will assist in securing susceptible IoT devices and networks from obstructive malware assaults. (shrink)

This special issue of Science and Engineering Ethics is devoted to the ethical, societal and political implications of new and emerging technologies in the area of Human Security. Its aim is to address the wider implications of an altered security landscape. Specifically, and in accordance with SEE’s main area of interest, contributions to this special issue focus on those ethical considerations warranted by scientific and technological advances in the field of human security. This includes, but is (...) not restricted to, issues of privacy and data protection, control, trust, surveillance, authority, and freedom. Papers consider some of the ethical and societal challenges related to new and emerging technologies in the context of the Human Security Doctrine (HSD), as it has been initially formulated by the United Nations Commission on Human Security (UNCHS 2003). The HSD argues for a paradigm shift from understanding security based on tangible assets (e.g., national borders, goo .. (shrink)

Many philosophers have recently become interested in conceptual engineering, or the activity of producing better conceptual schemes in human populations. But few, if any, are asking the question: what would it mean for actual human agents to possess the social authority to modify a conceptual scheme in this way? This paper argues for a deontological approach to conceptual engineering, wherein we have to secure social authority qua engineers before attempting to modify social concepts. I show that the dominant, (...) consequentialist conception of engineering violates basic rights that concept-users have, particularly over their own identity-constituting concepts. Using examples from the philosophy of race and sexuality, I show that conceptual engineers cannot authoritatively modify social concepts if they employ consequentialist reasoning about those concepts. (shrink)

This paper extensively develops and thoroughly creates a highly centralized and extremely efficient log collection system utilizing and leveraging the robust syslog server and comprehensively collects and gathers log data from the numerous hosts residing within the network, meticulously analyses and scrutinizes the detailed log files and promptly sends and transmits a critical alert message to the central host through secure and reliable SMS. This paper thoroughly and comprehensively addresses and tackles the increasingly growing and rapidly expanding need for extremely (...) robust and highly reliable cybersecurity measures and solutions in the vulnerable and sensitive power sector. (shrink)

The proliferation of the Internet of Things (IoT) has transformed various industries by enabling smart environments and improving operational efficiencies. However, this expansion has introduced numerous security vulnerabilities, making IoT systems prime targets for cyberattacks. This paper proposes a machine learning-based intrusion detection framework tailored to the unique characteristics of IoT environments. The framework leverages feature engineering, advanced machine learning algorithms, and real-time anomaly detection to identify and mitigate security threats effectively. Experimental results demonstrate the efficacy of (...) the proposed approach in detecting diverse IoT-specific attacks, including denial-of-service (DoS), man-in-the-middle (MITM), and malware-based attacks. The Internet of Things (IoT) has revolutionized modern living by interconnecting devices and enabling seamless communication. However, the increasing reliance on IoT systems has exposed significant vulnerabilities, making them a prime target for security attacks. This paper proposes a machine learning-based intrusion detection framework to detect and mitigate security attacks in IoT environments. The framework integrates diverse machine learning algorithms to identify abnormal behavior and potential threats. Through comprehensive experiments and evaluations, this research demonstrates the efficacy of the proposed framework in terms of accuracy, scalability, and robustness. (shrink)

Cloud computing has revolutionized the storage and management of data by offering scalable, cost-effective, and flexible solutions. However, it also introduces significant security concerns, particularly related to data leakage, where sensitive information is exposed to unauthorized entities. Data leakage can result in substantial financial losses, reputational damage, and legal complications. This paper proposes a deep learning-based framework for detecting data leakage in cloud environments. By leveraging advanced neural network architectures, such as Long Short-Term Memory (LSTM) and Convolutional Neural Networks (...) (CNNs), the model detects abnormal data access patterns that may indicate leakage. The system operates in real-time, continuously monitoring data interactions between users and the cloud. A large dataset containing normal and abnormal access logs is used to train and validate the model, ensuring it can effectively differentiate between legitimate and malicious activity. The performance of the model is evaluated using metrics such as accuracy, precision, recall, and F1-score, with the system achieving over 96% accuracy in identifying potential data leaks. Furthermore, the proposed solution is designed to be scalable and adaptable, making it suitable for dynamic cloud environments with evolving threats. Future enhancements to the system include integrating multi-cloud support and refining the model’s ability to detect sophisticated insider threats. This research highlights the importance of leveraging deep learning for real-time, proactive cloud security. (shrink)

Abstract— Malware behavior was and still is a key solution, for top security appliances, to monitor algorithmic approaches when performing regular security tasks; scan, detection, cleaning and removal. And even for early actions; when building a security framework and securing all possible access points to all data sources. The first suspect in such scenario is the inner residents; appliances and system functions. Numerous are available at each operating system, and thus, the security is raised and set (...) up frequently with all nowadays, yet, still we are able to identify black wholes and back doors, even with the high security approaches applied at different levels and layers. In this research we are presenting an inevitable security thread, we face frequently in different scenarios, that are the key definition for successful security trespass, which we secure with an ameliorated security shell skeleton. Though the sysinternals are doing sufficient services to help administrators accomplish security tasks; automating administration within large scale environments. (shrink)

Cloud computing has revolutionized the storage and management of data by offering scalable, cost-effective, and flexible solutions. However, it also introduces significant security concerns, particularly related to data leakage, where sensitive information is exposed to unauthorized entities. Data leakage can result in substantial financial losses, reputational damage, and legal complications. This paper proposes a deep learning-based framework for detecting data leakage in cloud environments. By leveraging advanced neural network architectures, such as Long Short- Term Memory (LSTM) and Convolutional Neural (...) Networks (CNNs), the model detects abnormal data access patterns that may indicate leakage. The system operates in real-time, continuously monitoring data interactions between users and the cloud. A large dataset containing normal and abnormal access logs is used to train and validate the model, ensuring it can effectively differentiate between legitimate and malicious activity. The performance of the model is evaluated using metrics such as accuracy, precision, recall, and F1-score, with the system achieving over 96% accuracy in identifying potential data leaks. Furthermore, the proposed solution is designed to be scalable and adaptable, making it suitable for dynamic cloud environments with evolving threats. Future enhancements to the system include integrating multi- cloud support and refining the model’s ability to detect sophisticated insider threats. This research highlights the importance of leveraging deep learning for real-time, proactive cloud security. (shrink)

While cloud computing is picking up prevalence, assorted security and protection issues are rising that block the quick reception of this new computing worldview. Furthermore, the improvement of cautious arrangements is lingering behind. To guarantee a safe and reliable cloud environment it is fundamental to distinguish the impediments of existing arrangements and imagine headings for future research. In this paper, we have reviewed basic security and protection challenges in cloud computing, arranged different existing arrangements, looked at their qualities (...) and constraints, and imagined future research headings. (shrink)

This study aimed to identify the digital transformation and its impact on the application of Cyber Security in the Palestinian Ministry of Interior and National Security. The study used the analytical descriptive approach. The study tool (questionnaire), and the comprehensive survey method was used, where (61) questionnaires were retrieved (87.1%), and they were unloaded and analyzed using the SPSS statistical package. The study found several results, including that there is a statistically significant correlation between all dimensions of Digital (...) transformation and the application of Cyber Security in the Ministry of Interior and National Security. And that there is an impact of Digital transformation on the application of security in the Ministry of Interior and National Security in the governorates of Gaza, and the impact coefficient was (0.897). It was found that the dimensions affecting the dependent variable of Cyber Security are dimensions (organizational structure, job description, data privacy and security, technical infrastructure required for digital transformation), as these dimensions affect (89.7%) of the variation in the application of Cyber Security. The study presented a set of recommendations, the most important of which are: The need for the Ministry's administration to provide a special budget to develop the quality of its electronic services as a lever for digital transformation. And the need for the number of workers in computer and information technology departments and units to be commensurate with the volume and quality of work to bridge the gap between the required performance and the actual performance. The ministry should set a clear methodology for exchanging data and information between the components of the ministry. And the need for the Ministry of Interior and National Security to use a protection network capable of detecting all threats. (shrink)

Abstract: In an era of rapid technological advancements, artificial intelligence (AI) has transformed surveillance systems, enhancing security capabilities across the globe. However, the deployment of AI-driven surveillance raises significant ethical concerns, particularly in balancing the need for security with the protection of individual privacy. This paper explores the ethical challenges posed by AI surveillance, focusing on issues such as data privacy, consent, algorithmic bias, and the potential for mass surveillance. Through a critical analysis of the tension between (...) class='Hi'>security and privacy, this paper examines the implications of AI technologies on civil liberties and human rights. It also highlights the importance of establishing clear regulatory frameworks and ethical guidelines to ensure that AI surveillance systems operate within boundaries that respect individual freedoms. In navigating this delicate balance, we propose solutions that prioritize transparency, accountability, and the protection of privacy in the digital age. (shrink)

Home management and controlling have seen a great introduction to network that enabled digital technology, especially in recent decades. For the purpose of home automation, this technique offers an exciting capability to enhance the connectivity of equipment within the home. Also, with the rapid expansion of the Internet, there are potentials that added to the remote control and monitoring of such network-enabled devices. In this paper, we had been designed and implemented a fully manageable and secure smart home automation system (...) based on a cloud computing system with an ESP Arduino system. The security of home had been improved by adding a complete camera system with a GSM communication technique to connect the Arduino output data to an external specified number if there is no internet provider. We used three sensors for temperature, gas, and motion measurements. The ESP8226 Wi-Fi device programmed the sensors to maintain the sensors measurements and transfer them to the cloud server database which is programmed to the web server via Appatshy and Mysql formats. The system implemented with high time response so that all readings updated and appeared spontaneously. The designed system should be effective, a secure, and rapid response real-time smart home system should be achieved. (shrink)

As engineers propose constructing humanlike automata, the question arises as to whether such machines merit human rights. The issue warrants serious and rigorous examination, although it has not yet cohered into a conversation. To put it into a sure direction, this paper proposes phrasing it in terms of whether humans are morally obligated to extend to maximally humanlike automata full human rights, or those set forth in common international rights documents. This paper’s approach is to consider the ontology of humans (...) and of automata and whether ontological difference between them, that pertains to the very bases of human rights, affects the latter’s claims to full human rights. Considering common bases of human rights, can these bases tell us whether a certain ontological distinction of humans from automata—or a de facto distinction about humans tacitly acknowledged by full-rights-recognizing societies—makes a difference in whether humans are morally obligated to assign these entities full rights? Human rights to security also arise. The conclusion is that humans need not be under any moral obligation to confer full human rights on automata. The paper’s ultimate point is not to close the discussion with this ontological cap but to set a solid moral and legal groundwork for opening it up tout court. (shrink)

Bernard Williams articulated his later political philosophy notably in response to Ronald Dworkin, who, striving for coherence or integrity among our political concepts, sought to immunize the concepts of liberty and equality against conflict. Williams, doubtful that we either could or should eliminate the conflict, resisted the pursuit of conceptual integrity. Here, I reconstruct this Dworkin–Williams debate with an eye to drawing out ideas of ongoing philosophical and political importance. The debate not only exemplifies Williams's political realism and its connection (...) to his critique of the morality system. It also illustrates the virtues and hazards of contemporary efforts to ameliorate or engineer our concepts; it indicates what political philosophy might look to in appraising political concepts; it adverts to the different needs these concepts have to meet if they are to sustain a politics of pluralism, deal with polarization, and secure the consent of those who end up on the losing side of political decisions; and it presents us with two starkly contrasting conceptions of politics itself, of the place of political values within it, and of our prospects of reducing the uncomfortably conflictual character of those values through philosophy. (shrink)

Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the origins of these (...) mottos and statements, this chapter projects the future of such ethical manifestations in the context of critically-important privacy, security, and economic concerns. The chapter analyzes potential influences of the ethical expressions on corporate social responsibility (CSR) initiatives. The chapter analyzes issues of whether “large-grained” corporate mottos can indeed serve to supply social and ethical guidance for organizations as opposed to more complex, detailed codes of ethics or comparable attempts at moral clarification. (shrink)

Businesses and people outsource database to realize helpful and low-cost applications and administrations. In arrange to supply adequate usefulness for SQL inquiries, numerous secure database plans have been proposed. In any case, such plans are helpless to protection leakage to cloud server. The most reason is that database is facilitated and handled in cloud server, which is past the control of information proprietors. For the numerical extend inquiry (“>”, “<”, etc.), those plans cannot give adequate protection security against viable (...) challenges, e.g., security spillage of measurable properties, get to design. Besides, expanded number of questions will definitely spill more data to the cloud server. In this paper, we propose a two-cloud engineering for secure database, with a arrangement of crossing point conventions that give security conservation to different numeric-related extend questions. Security analysis shows that privacy of numerical information is strongly protected against cloud providers in our proposed scheme. (shrink)

This book explores how robotics and artificial intelligence can enhance human lives but also have unsettling “dark sides.” It examines expanding forms of negativity and anxiety about robots, AI, and autonomous vehicles as our human environments are reengineered for intelligent military and security systems and for optimal workplace and domestic operations. It focuses on the impacts of initiatives to make robot interactions more humanlike and less creepy. It analyzes the emerging resistances against these entities in the wake of omnipresent (...) AI applications. It unpacks efforts by developers to have ethical and social influences on robotics and AI, and confronts the AI hype that is designed to shield the entities from criticism. The book draws from science fiction, dramaturgical, ethical, and legal literatures as well as current research agendas of corporations. Engineers, implementers, and researchers have often encountered users' fears and aggressive actions against intelligent entities, especially in the wake of deaths of humans by robots and autonomous vehicles. The book is an invaluable resource for developers and researchers in the field, as well as curious readers who want to play proactive roles in shaping future technologies. (shrink)

Communities of nuclear workers have evolved in distinctive contexts. During the Manhattan Project the UK, USA and Canada collectively developed the first reactors, isotope separation plants and atomic bombs and, in the process, nurtured distinct cadres of specialist workers. Their later workplaces were often inherited from wartime facilities, or built anew at isolated locations. For a decade, nuclear specialists were segregated and cossetted to gestate practical expertise. At Oak Ridge Tennessee, for example, the informal ‘Clinch College of Nuclear Knowledge’ aimed (...) to industrialise the use of radioactive materials. ‘We were like children in a toy factory’, said its Director: ‘everyone could play the game of designing new nuclear power piles’. His counterpart at Chalk River, Ontario headed a project ‘completely Canadian in every respect’, while the head of the British project chose the remote Dounreay site in northern Scotland because of design uncertainties in the experimental breeder reactor. With the decline of secrecy during the mid-1950s, the hidden specialists lauded as ‘atomic scientists’ gradually became visible as new breeds of engineers, technologists and technicians responsible for nuclear reactors and power plants. Mutated by their different political contexts, occupational categories, labour affiliations, professional representations and popular depictions, their activities were disputed by distinct audiences. This chapter examines the changing identities of nuclear specialists and the significance of their secure sites. Shaped successively by Cold War secrecy, commercial competition and terrorist threats, nuclear energy remained out of site for wider publics and most nuclear specialists alike. The distinctive episodes reveal the changing working experiences of technical workers in late-twentieth and early twenty-first century environments. (shrink)

The present paper is an attempt to discuss issues and challenges of Cyber Crime in India from an ethical perspective. Ethics is a branch of philosophy which deals with what is considered to be right or wrong. The ethics centers and program devoted to busin age for several re crime’. The advancement ess ethics, legal ethics, bioethics, medical ethics, engineering ethics, and computer ethics have sprung up. Cyber crime is emerging as a serious threat. Computer Technology is one of (...) the important general purpose Technologies in today’s asons. Today it is used in almost all the organizations, institutions, and people. Computer technology makes the life so speedy and fast, but hurled under the eclipse of threat from the deadliest type of criminality termed as 'Cyber of IT brings so many facilities to us; but also brings so many problems and challenges too and out of which Cyber Crime is a kind of offence which deals with the cyber world which includes computer security, information security, and mobile security too. The increasing number of crimes in the field of Information Technology brings a big attraction to Cyber Crime to everyone. (shrink)

The article provides the analysis of the entrance into the innovative activity and organized regulation of interaction which is based on the scientific and technological changes, concentration of production and the feasibility study of administrative decisions, which are dominated by a conglomerate of technical, technological and engineering management decisions. The research formulates the provisions for the productive use of business as the form of economic relations which is based on the entrepreneur function. These provisions are formulated basing on the (...) conditions of efficient division of labour and cooperation. The research singles out a number of systemic positions which allow perceiving logically and distinguishing the production, service and business, to distribute human activities between the groups of occupations and types of service activities. Among these systemic provisions the most efficient is a modelling approach which, when the society enters more complex social and economic stage, transfers the science from the environment of operations with the bulk characteristics into the environment of the analysis of specific sets of coefficients. The logistics of Ukraine’s joining the process of business is associated with the position of the recognition of the primacy of the physical abilities of the person, which should be developed in part in the system of public security and partly in the business environment, commercialization and private capital. Person enters the business environment and habitat as an initiative individual. These indicators are the following: «connections» between the old and the new, between the objects which exist and those which only start to appear and will exist in future; «sources» of development, movement, changes; «mechanism» of development, ways of changing from old to new quality; «direction» of development; «style» of thinking, understanding reality; «essence» of true knowledge; «essence itself» of cognition; «alternativeness» of metaphysics and dialectics. (shrink)

Security is a major concern on the internet, and Distributed Denial of Service (DDoS) attacks are a significant threat. These attacks overwhelm network resources and use up bandwidth, making it difficult for legitimate users to access services. One challenge in dealing with DDoS attacks is telling the difference between a sudden increase in traffic from real users, known as a "flash crowd," and actual attack traffic. This paper looks at different existing solutions for detecting DDoS attacks and explains how (...) these methods help reduce their impact. As more businesses move to cloud-based services, the risk of DDoS attacks has increased. These attacks can seriously disrupt organizations by overloading their network resources and making important services unavailable. Traditional defense methods, like firewalls, are no longer enough to handle the scale and complexity of modern DDoS attacks. To address this issue, We propose a new approach that utilizes the implementation of deep learning models to detect DDoS attacks in cloud environments. Our method uses various features from network traffic to train machine learning algorithms, aiming to effectively identify DDoS attacks in real-time with high accuracy. (shrink)

Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, (...) precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. (shrink)

Social change is slow and difficult. Social change for animals is formidably slow and difficult. Advocates and scholars alike have long tried to change attitudes and convince the public that eating animals is wrong. The topic of norms and social change for animals has been neglected, which explains in part the relative failure of the animal protection movement to secure robust support reflected in social and legal norms. Moreover, animal ethics has suffered from a disproportionate focus on individual attitudes and (...) behavior at the expense of collective behavior, social change, and empirical psychology. If what we want to change is behavior on a large scale, norms are important tools. This article reviews an account of social norms that provides insights into the possibility and limitations of social change for animals, approaching animal protection as a problem of reverse social engineering. It highlights avenues for future work from this neglected perspective. (shrink)

In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. The online world has turned into an ecosystem of bots. However, our knowledge of how these automated agents are interacting with each other is rather poor. Bots are predictable automatons that do not have the capacity for emotions, meaning-making, creativity, and sociality (...) and it is hence natural to expect interactions between bots to be relatively predictable and uneventful. In this article, we analyze the interactions between bots that edit articles on Wikipedia. We track the extent to which bots undid each other’s edits over the period 2001–2010, model how pairs of bots interact over time, and identify different types of interaction trajectories. We find that, although Wikipedia bots are intended to support the encyclopedia, they often undo each other’s edits and these sterile “fights” may sometimes continue for years. Unlike humans on Wikipedia, bots’ interactions tend to occur over longer periods of time and to be more reciprocated. Yet, just like humans, bots in different cultural environments may behave differently. Our research suggests that even relatively “dumb” bots may give rise to complex interactions, and this carries important implications for Artificial Intelligence research. Understanding what affects bot-bot interactions is crucial for managing social media well, providing adequate cyber-security, and designing well functioning autonomous vehicles. (shrink)

given the increasing threats to data confidentiality and integrity. The project titled "Anonymization and Revocation of User Identity in CPABE-Based Ring Networks" addresses these concerns by integrating CiphertextPolicy Attribute-Based Encryption (CPABE) into a ring network environment. This novel approach effectively hides user identities during communications, mitigating risks of unauthorized data access and preventing potential misuse of sensitive information. A key feature of this project is the implementation of a secure revocation mechanism that ensures once a user's permissions are revoked, they (...) no longer have access to protected data, thereby strengthening the overall security framework. By combining CPABE’s robust access control with the anonymity provided by ring signatures, the project establishes a solution that guarantees both privacy preservation and secure data access control in networked environments. The successful integration of anonymization and secure revocation into CPABE-based systems represents a significant contribution to the field of secure communication networks, offering a reliable method for safeguarding user identities and maintaining data integrity. This approach can greatly enhance the security and privacy aspects of digital communications in a world where privacy breaches are increasingly prevalent. (shrink)

Ant Design (ANTD) is employed to enhance the user interface with pre-built, responsive components that streamline the design process and provide a clean, intuitive look to the application. This not only improves usability but also ensures a consistent user experience. The combination of these tools results in a robust system that enhances log management capabilities, allowing IT teams to proactively detect and address potential system issues. Future enhancements could include integrating machine learning models for predictive analytics, which would enable the (...) system to automatically detect unusual patterns, further strengthening IT security and performance monitoring. (shrink)

Synthetic foods advocates offer the promise of efficient, reliable, and sustainable food production. Engineered organisms become factories to produce food. Proponents claim that through this technique important barriers can be eliminated which would facilitate the production of traditional foods outside their climatic range. This technique would allow reducing food miles, secure future supply, and maintain quality and taste expectations. In this paper, we examine coffee production via biobased means. A startup called Atomo Coffee aims to produce synthetic coffee with the (...) aim of saving ‘the taste of coffee’ from the effects of climate change. This decontextualisation of coffee production ignores the current and historical contributions of coffee farmers in two ways: the traditional varieties in taste of coffee and their cultural significance, and the potential shade-grown coffee plantations have in capturing carbon. In addition, synthetic coffee may lead to the loss of agricultural biodiversity and the removal of resources away from production systems that provide a safe space for tropical flora and fauna. How should the ‘taste of coffee’ be owned? We investigate the property regimes under which we could consider owning the taste of coffee as a ‘synthetic’ agrobiodiversity to help identify rights and responsibilities. Building on this analysis, we consider dimensions of responsible innovation and social justice to help guide synthetic foods as an agricultural innovation. (shrink)

This chapter discusses the fundamental question of the defense industry’s role and legitimacy for societies. It begins with a parable of a psychopath doing something self-serving that has beneficial moral consequences. Analogously, it is argued, the defense industry profiting by selling weapons that can kill people makes it useful in solving moral problems not solvable by people with ordinary moral scruples. Next, the chapter argues that while the defense industry is a business, it is also implicated in the security (...) of its home nations. In addition, its products can be used for good or evil. Thus, it must navigate conflicting values, with the result that the rules often thought to rightly regulate the industry—codes of business ethics, engineering ethics, procurement ethics, plus laws of the land, and dicta of conscience—need supplementing by general moral reflection. This chapter argues for a principle that tells how to decide when to violate the rules, for a theory of rational choice on which choosing by this principle is rational, and for teaching that theory to defense industry employees to ensure their ethical behavior. (shrink)

. The Computerized Cognitive Retraining Program is a web-based application designed to support home-based cognitive training for children with cognitive disabilities. Cognitive disabilities often present challenges in areas such as memory, attention, and problemsolving, which can impact a child's learning and daily functioning. This project aims to provide an engaging, accessible platform for children to practice and improve these skills from the comfort of their home, under the guidance of healthcare professionals. The application enables children to engage with a variety (...) of interactive games and exercises specifically developed to target cognitive functions. Each activity is designed to be visually stimulating and user-friendly, encouraging consistent participation and gradual cognitive improvement. The program also features a patient dashboard for doctors, allowing them to monitor individual progress, assess performance trends, and make informed adjustments to each child's training plan. Built using HTML, CSS, JS, VS code local storage, this application offers secure access and a reliable database structure for storing user data, game progress, and performance metrics. Through this project, we aim to bridge the gap in cognitive support services by making training resources available in a home setting, thus extending the impact of cognitive retraining beyond traditional clinical environments. (shrink)

Holography, the technology of three-dimensional imaging, has repeatedly been reconceptualised by new communities. Conceived in 1947 as a means of improving electron microscopy, holography was revitalized in the early 1960s by engineer-scientists at classified laboratories. The invention promoted the transformation of a would-be discipline (optical engineering) and spawned limited artist-scientist collaborations. However, a separate artisanal community promoted a distinct countercultural form of holography via a revolutionary technology: the sandbox optical table. Their tools, sponsorship, products, literature and engagement with wider (...) culture differentiated the communities, which instituted a limited ‘technological trade’. The subject strikingly illustrates the co-evolution of new technology along with highly dissimilar user groups, neither of which fostered the secure establishment of a profession or discipline. The case generalises the concept of 'research-technologists' and 'peripheral science', and extends the ideas of Langdon Winner by demonstrating how the political dimensions of a technology can be important but evanescent in the growth of technical communities. (shrink)

In the future, human destiny may depend on our ethics. In particular, biotechnology and expansion in space can transform life, raising profound questions. Guidance may be found in Life-centered ethics, as biotic ethics that value the basic patterns of organic gene/protein life, and as panbiotic ethics that always seek to expand life. These life-centered principles can be based on scientific insights into the unique place of life in nature, and the biological unity of all life. Belonging to life then implies (...) a human purpose: to safeguard and propagate life. Expansion in space will advance this purpose but will also raise basic questions. Should we expand all life or only intelligent life? Should we aim to create populations of trillions? Should we seed other solar systems? How far can we change but still preserve the human species, and life itself? The future of all life may be in our hands, and it can depend on our guiding ethics whether life will fulfil its full potentials. Given such profound powers, life-centered ethics can best secure future generations. Our descendants may then understand nature more deeply, and seek to extend life indefinitely. In that future, our human existence can find a cosmic purpose. (shrink)

Why It’s Difficult to Increase Job Creation to Balance Exponential Population Growth -/- One of the biggest challenges in economic development is ensuring that job creation keeps pace with the rapid growth of the population. If a country fails to provide enough employment opportunities, it leads to rising unemployment, poverty, and social instability. The problem is even more complex because economic growth is not always proportional to population growth. Several key factors—such as economic productivity, income inequality, technological advancements, education, and (...) labor migration—must be considered when addressing this issue. To create a sustainable balance, countries must focus on maintaining an ideal standard of living, fair income distribution, and a population growth rate that does not exceed economic expansion. -/- 1. The Importance of GDP per Capita in Job Creation -/- A country’s economic strength is often measured by its Gross Domestic Product (GDP) per capita, which reflects the average income per person. For a nation to provide enough well-paying jobs, it must have a high enough GDP per capita to support businesses, investments, and infrastructure development. Studies suggest that a GDP per capita of at least $15,000 to $25,000 is necessary for a stable middle-income economy where job opportunities are abundant. -/- However, many developing nations struggle to reach this level due to factors such as inefficient economic policies, corruption, or lack of industrial growth. If GDP per capita is too low, businesses may not generate enough revenue to expand, and workers may be forced into low-wage or informal jobs with little security. To ensure sufficient employment opportunities, governments must focus on improving productivity, supporting small and medium enterprises, and investing in industries that create large numbers of jobs. -/- 2. The Impact of Income Inequality on Job Availability -/- Even if a country has a high GDP, the way wealth is distributed among the population significantly affects job creation. A measure called the Gini coefficient helps determine how equally wealth is shared. If income is too concentrated in the hands of a few, economic growth will not translate into widespread job creation. -/- For a healthy economy, income inequality should be kept within a manageable range—typically a Gini coefficient of 0.25 to 0.35. If this number rises above 0.4, it indicates that a small portion of the population holds most of the wealth, while the majority struggle with low wages and unemployment. High inequality leads to reduced consumer spending, which negatively affects businesses and slows down job creation. To fix this, governments must implement policies that promote fair wages, progressive taxation, and better access to education and healthcare. -/- 3. The Balance Between Population Growth and Economic Growth -/- One of the most critical factors in job creation is the relationship between population growth and economic growth. If the population expands too quickly without a corresponding increase in job opportunities, unemployment will rise. A sustainable population growth rate should generally be below 1% per year, while economic growth should ideally be between 3% and 5% per year to generate enough jobs. -/- In many developing countries, high birth rates continue to add millions of people to the workforce every year, but the economy does not grow fast enough to accommodate them. This problem is worsened by factors such as automation, which replaces traditional jobs, and weak labor markets that fail to absorb new workers. To address this issue, governments must implement population policies, invest in education, and ensure that job market demands align with workforce skills. -/- 4. The Role of Labor Migration in Balancing Job Creation and Population Growth -/- One effective way to address job shortages and overpopulation is through labor migration. Many developed countries face declining birth rates and aging populations, which create labor shortages in critical industries such as healthcare, construction, and agriculture. At the same time, overpopulated developing nations struggle with high unemployment. A well-managed labor migration system can help balance both issues by matching surplus labor from developing countries with job shortages in developed economies. -/- How Labor Migration Helps Solve the Imbalance: -/- For overpopulated countries: Migration reduces unemployment, eases pressure on local job markets, and allows workers to send remittances back home, boosting their domestic economy. -/- For labor-shortage countries: Migrant workers fill essential jobs that local populations are unable or unwilling to do, preventing economic stagnation. -/- Challenges in Implementing Labor Migration: -/- Despite its benefits, labor migration is often restricted by strict immigration policies, cultural resistance, and concerns about local job competition. To maximize the benefits of migration, countries should: -/- Create bilateral agreements that ensure fair wages and worker protections. -/- Provide legal pathways for migrant workers to prevent exploitation and illegal migration. -/- Implement integration programs that help migrants contribute positively to their host economies. -/- By effectively managing labor migration, both sending and receiving countries can create a win-win situation that helps balance employment opportunities globally. -/- 5. The Role of Education and Skills Development -/- A well-educated workforce is essential for job creation. Many emerging industries—such as technology, renewable energy, and healthcare—require specialized skills that the general population may not have. Unfortunately, many education systems fail to prepare students for the jobs of the future, resulting in a mismatch between the skills available in the workforce and the jobs that need to be filled. -/- To solve this, countries must focus on improving education and vocational training programs. Investing in science, technology, engineering, and mathematics (STEM) education, as well as technical and trade schools, can help workers adapt to changing job market demands. Additionally, lifelong learning programs should be encouraged to help workers update their skills as industries evolve. -/- 6. How Technology and Globalization Affect Job Creation -/- Advancements in technology and globalization have created both opportunities and challenges for job creation. Automation, artificial intelligence, and robotics have increased productivity but have also eliminated many traditional jobs, particularly in manufacturing and retail. While technology generates new industries, these jobs often require advanced skills, leaving behind workers who are unable to adapt. -/- Similarly, globalization has allowed companies to move jobs to countries with cheaper labor costs, which can reduce employment opportunities in some regions. To counter this, countries must focus on attracting industries that balance automation with human labor, promoting entrepreneurship, and investing in sectors that cannot be easily outsourced, such as local services and infrastructure development. -/- 7. Policy Recommendations for Sustainable Job Creation -/- To ensure that job creation keeps up with population growth, governments and businesses must work together to implement sustainable economic policies. Some key recommendations include: -/- Economic Diversification: Countries should invest in multiple industries, including technology, agriculture, healthcare, and renewable energy, to create a variety of job opportunities. -/- Fair Income Distribution: Policies should be designed to reduce income inequality through progressive taxation, minimum wage laws, and social welfare programs. -/- Education and Workforce Training: Schools and universities should align their curricula with the needs of the job market, and vocational training should be expanded. -/- Population Management: Governments should promote responsible family planning and ensure that population growth does not outpace economic development. -/- Support for Small Businesses: Small and medium enterprises (SMEs) are a major source of employment and should receive incentives such as low-interest loans, tax breaks, and reduced bureaucratic barriers. -/- Managed Labor Migration: Countries should develop legal migration pathways that match labor demand and supply globally. -/- Conclusion -/- Balancing job creation with population growth is a complex challenge that requires a comprehensive and sustainable approach. Countries must ensure that GDP per capita remains high, income is distributed fairly, and population growth stays within manageable limits. By investing in education, economic diversification, labor migration, and social policies, governments can create a stable and prosperous society where job opportunities are available for all. If these factors are not properly managed, the gap between population growth and job availability will continue to widen, leading to economic and social instability. -/- . (shrink)

Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/ Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the origins of (...) these mottos and statements, this chapter projects the future of such ethical manifestations in the context of critically-important privacy, security, and economic concerns. The chapter analyzes potential influences of the ethical expressions on corporate social responsibility (CSR) initiatives. The chapter analyzes issues of whether “large-grained” corporate mottos can indeed serve to supply social and ethical guidance for organizations as opposed to more complex, detailed codes of ethics or comparable attempts at moral clarification. (shrink)

Geoengineering; specifically Solar Radiation Management ; has been proposed to effect rapid influence over the Earth’s climate system in order to counteract Anthropogenic Global Warming. This poses near-term to long-term governance challenges; some of which are within the planning horizon of current political administrations. Previous discussions of governance of SRM have focused primarily on two scenarios: an isolated “Greenfinger” individual; or state; acting independently ; versus more consensual; internationalist approaches. I argue that these models represent a very limited sub-set of (...) plausible deployment scenarios. To generate a range of alternative models; I offer a short; relatively unstructured discussion of a range of different types of warfare – each with an analogous SRM deployment regime. (shrink)

Background: Health care practitioners are recognized to have a large influence in shaping uptake of vaccine in new borns, children, adolescents, as well as adults. Parents remain more secure in their decisions when health care practitioners communicate successfully with them about vaccine dangers and benefits, the value as well as necessity for vaccinations, as well as vaccine safety. Thus, immunization remain the foundation of the primary health care system, an indisputable human right as well as a global health and development (...) success story, saving millions of lives yearly. Recently, we have vaccines to prevent more than 20 life threatening diseases, helping people of all ages live longer, healthier lives. Yet despite tremendous progress, far too many people around the world, including nearly 20 million infants yearly have insufficient access to vaccines. In some countries, progress has stalled or even reversed, and there is a real risk that complacency will undermine past achievements. Purpose: The current study aimed to explores vaccine hesitancy, its barriers and impact studies regarding COVID-19 decision impacts. Also, to provides policy and decision makers and operational staff with evidence to inform decisions to promote vaccine uptake across Bayelsa State. Methods: A literature review tried to do a deep dive by using a variety of search engines such as Scopus, Research Gate, Mendeley, Summon, PubMed, Google Scholar, Hinari, Dimension, Academia, CAB Abstract, OARE Abstract, SSRN search strategy to retrieve research publications, “grey literature” and expert working group reports, including author’s field experience. Findings: Absence of uniform methods of organization in the various health care facilities upon which we were obliged to rely. Thus affecting the overall immunization programme and health system. Hence policy must urgently address these challenges with emphasis on policy clarity while continuously improving infrastructure. Conclusions: Bayelsa State is categorized as low/poor performing as the findings suggest that the involvement of community-based leaders can improve community participation and acceptance while enhancing and strengthening integrated disease surveillance and Adverse Events Following Immunization (AEFI) monitoring and reporting systems; and conducting integrated advocacy and communications activities to promote demand for vaccination as part of increasing overall demand and acceptability of all essential Primary Health Centers (PHC) services, thus, breaking barriers of vaccine hesitancy. (shrink)

Revista Intelligence Info este o publicație trimestrială din domeniile intelligence, geopolitică și securitate, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIALE / EDITORIALS -/- Tiberiu TĂNASE Considerații privind necesitatea educării și formării resursei umane pentru intelligence–ul național Considerations regarding the need to educate and train human resources for national intelligence Nicolae SFETCU Epistemologia activității de intelligence Epistemology of intelligence Nicolae SFETCU Rolul serviciilor de informații în război The role of the intelligence agencies in a war Nicolae SFETCU (...) Evoluția inteligenței artificiale în domeniul securității naționale The evolution of artificial intelligence in the field of national security -/- INTELLIGENCE / INTELLIGENCE -/- Ovidiu BOUREANU O scurtă istorie a spionajului: spionajul modern de la Războiul Rece la Războiul împotriva terorii A Brief History of the Spy: Modern Spying from the Cold War to the War on Terror Ioana PĂIUȘ, Tiberiu TĂNASE Securitate și informații într-o lume în schimbare Security and intelligence in a changing world Nicolae SFETCU Activitatea de intelligence - Ciclul intelligence Intelligence Activity – Intelligence Cycle Tiberiu TĂNASE Controlul asupra Intelligence –ului Control over Intelligence Tiberiu TĂNASE Informația și nevoia de gestionare a resurselor informaționale Information and the need to manage information resources Tiberiu TĂNASE Controlul parlamentar al serviciilor de informații Parliamentary control of intelligence services Tiberiu TĂNASE Mecanisme de control democratic al activității serviciilor de informații Mechanisms of democratic control of the activity of intelligence agencies Nicolae SFETCU Analiza informațiilor Intelligence Analysis Bogdan-George RĂDULESCU Cum ar trebui să fie utilizată analiza intelligence pentru a contracara războiul cognitiv? How should intelligence analysis be utilized to counter cognitive warfare? -/- ISTORIE / HISTORY -/- Tiberiu TĂNASE Biroul de Informații al Secției Militare din Transilvania și rolul său în campania pentru apărarea României Mari The Intelligence Office of the Transylvanian Military Section and its role in the campaign for the defense of Greater Romania Stan PETRESCU Pacepa, Kuklinski, Pollard și românii Pacepa, Kuklinski, Pollard and the Romanians Tiberiu TĂNASE Contracararea de către SSI a activităților informative și acțiunilor Serviciilor Germane și Sovietice de Informații implicate în evenimentele din 21 - 23 ianuarie 1941 Countering by the SSI of the informational activities and actions of the German and Soviet Intelligence Services involved in the events of January 21-23, 1941 Tiberiu TĂNASE Alexandru Ioan Cuza, fondatorul Intelligence-lui statului modern românesc Alexandru Ioan Cuza, Founder of the Intelligence of the Modern Romanian State Tiberiu TĂNASE, Bogdan MUSCALU Puncte de vedere privind tradițiile romane în istoria intelligence-lui Viewpoints on Roman traditions in history intelligence Tiberiu TĂNASE Istoria Serviciului Român de Informații – serviciu de intelligence competitiv, și strategiile de intelligence History of the Romanian Intelligence Service – competitive intelligence service, and intelligence strategies Rodica LISEANU Reformele serviciilor secrete de la Mihail Moruzov la Eugen Cristescu, între inovație și decadență Secret service reforms from Mihail Moruzov to Eugen Cristescu Rodica LISEANU Take Ionescu – O biografie vectorială în istoria partidelor politice și în semantica diplomației Take Ionescu - A Vectorial Biography in the History of Political Parties and the Semantics of Diplomacy Remus MACOVEI Trădători și trădători Traitors and traitors -/- GEOPOLITICA / GEOPOLITICS -/- Antoaneta AVRAM Pandemia de COVID-19 și consecințele ei în peisajul anului 2022 The COVID-19 pandemic and its consequences in the landscape of 2022 Darius-Antoniu FERENȚ, Ioan MANCI Analiza conflictului ruso-cecen din perspectivă militară Analysis of the Russian-Chechen conflict from a military perspective Lisa-Maria ACHIMESCU Apusul universalismului european The decline of European universalism Emilian M. DOBRESCU Hegemonia chineză în producția de pământuri rare Chinese Hegemony in the Production of Rare Earths Ionuț-Daniel GORGOVAN ”Descurajarea integrată”. Analiză asupra strategiei SUA în Pacific "Integrated deterrence". Analysis of US Pacific Strategy Tiberiu TĂNASE, Violeta Ioana NAGÂȚ Conflictul arabo-israelian. Percepții privind cauzele și natura conflictului. Repere istorice și actualitate The Arab-Israeli conflict. Perceptions of the causes and nature of conflict. Historical landmarks and current affairs -/- SECURITATE / SECURITY -/- Tănase TIBERIU Minighid de pregătire și protecție contrainformativă Counterintelligence preparation and protection mini-guide Darius-Antoniu FERENȚ ISIS - Jocul morții - Martiri, asasinate și fascinație The Killing Game - Martyrdom, Murder and the Lure of ISIS Traian OSTAHIE Abordări generale ale conceptului de cultură de securitate For a 21st century realism Dalia Elena SILAGHI Terorismul cibernetic: o formă contemporană de terorism Cyber Terrorism: A Contemporary Form of Terrorism Paul Alexandru HELER Conflictul asimetric și consecințele sale în securitatea Asiei Asymmetric Conflict and Its Consequences in Asian Security Daria-Maria TÂRNĂVEAN Confruntarea informațională și repercusiunile sale asupra mediului actual de securitate The Information Confrontation and its Repercussions on the Current Security Environment Darius-Antoniu FERENȚ Analiza atacurilor cibernetice, precum APT (Advanced Persistent Threat) și ransomware Analysis of cyber attacks such as APT (Advanced Persistent Threat) and ransomware Daniela Georgiana GOLEA, Oana Ștefania COȘA Nevoia de adaptare managerială a noilor probleme de securitate modernă The need for managerial adaptation to new modern security issues Darius-Antoniu FERENȚ, Corneliu PREJA Implicarea NATO în domeniul apărării cibernetice NATO's involvement in cyber defence Alexandru CRISTIAN Paradigme în mediul internațional de securitate Paradigms in the international security environment Alexandru CRISTIAN Schimbarea paradigmelor în mediul internațional de securitate Changing paradigms in the international security environment Dan D. FARCAȘ Adevăr și dezinformare în fenomenul OZN Truth and disinformation in the UFO phenomenon Alexandru CRISTIAN Un nou mediu de securitate A new security environment -/- ȘTIINȚA INFORMAȚIEI / INFORMATION SCIENCE -/- Oana Ștefania COȘA Rolul structurilor de intelligence medical în atingerea obiectivul de consolidare a sistemului de sănătate The role of medical intelligence structures in achieving the objective of strengthening the health system Nicolae SFETCU Preocupări legislative în mineritul datelor Legislative concerns in data mining Nicolae SFETCU Utilizarea analiticii rețelelor sociale în intelligence Using social network analytics in intelligence Nicolae SFETCU Ingineria cunoașterii în colectarea informațiilor Knowledge Engineering in Intelligence Gathering -/- ISSN 2971 – 9089 ISSN-L 2821 – 8159, DOI: 10.58679/II26972. (shrink)

Having a ‘title to govern’ is critical for regime survival. Authoritarian rulers have also attempted to legitimise themselves as justified rulers. Numerous case studies have examined rulers’ collective efforts to explain their right to govern (legitimacy claims, or legitimation). This thesis tries to examine how the ruler’s seizure of power shapes legitimation capacity in order to gain a thorough grasp of the relationship between legitimation and regime resilience. Using comparative historical case studies of Vietnam, Mongolia and North Korea, this project (...) argues that regimes with indigenous political origins have institutional legacies that are advantageous for engineering legitimation claims, such as strong sub-party organs, effective military and security section control, and collective social norms among political elites during violent revolution. By contrast, an externally imposed political origin lacks these institutional benefits. When rulers face regime crises, these two distinct legitimation claim mechanisms help explain regime resilience or failure. This thesis contributes to the burgeoning literature on authoritarian legitimacy and resilience, and it also expands our understanding of political changes in divergent post-communist countries throughout East Asia. (shrink)

Data mining possess a significant threat to ethics, privacy, and legality, especially when we consider the fact that data mining makes it difficult for an individual or consumer (in the case of a company) to control accessibility and usage of his data. Individuals should be able to control how his/ her data in the data warehouse is being access and utilize while at the same time providing enabling environment which enforces legality, privacy and ethicality on data scientists, or data engineer (...) during data mining process. This paper review issues of legality, privacy, and ethicality in data mining, review processes of Data mining, and also proposes solution to current ethical and privacy issue in data mining. It introduces a new method which enforces data mining without infringing on the privacy of individual or consumer whose data are being used. The sole aim of this paper is to propose a new method of mining data which restricts scientists within the constraints of legality, privacy, and ethicality. (shrink)

Space situational awareness (SSA) is vital for international safety and security, and for the future of space travel. The sharing of SSA data and information should improve the state of global SSA for planetary defense and spaceflight safety. I take steps toward a Space Situational Awareness (SSA) Ontology, and outline some central objectives, requirements and desiderata in the ontology development process for this domain. The purpose of this ontological system is to explore the potential for the ontology research topic (...) to (i) represent SSA general knowledge, data, and entities/objects, (ii) clearly express the meaning of SSA data, and (iii) foster SSA data-sharing. The overall goal and motivation is to (iv) improve our capacity for planetary defense, e.g., from near- or deep-space objects and phenomena, and (v) facilitate safer and peaceful space access, navigation and travel, by improving global SSA. This research is thereby intended only for peaceful space-domain applications and uses, with particular interests in orbital debris. There is little application of ontology to the space domain as compared with other disciplines and little if any ontological development of SSA and related domains. In this respect, this paper offers novel concepts. (shrink)

In the current digital environment, cyberattacks continue to pose a serious risk and difficulty. Internet of Things (IoT) devices are becoming more and more vulnerable due to security problems like ransomware, malware, poor encryption, and IoT botnets. These flaws may result in ransom demands, data tampering, illegal access, and system risks. Creating strong cybersecurity procedures for contemporary smart environments is essential to resolving these problems. This strategy uses proactive network traffic monitoring to spot any dangers in the Internet of (...) Things ecosystem. Our approach is to improve Smart Environments' security and awareness of potential threats. Two IoT gateways were used to examine the effectiveness and performance of a deep neural network (DNN) model. The results were promising: the model caused an average increase of less than 30 kb/s in network bandwidth and a mere 2% rise in CPU usage. Additionally, memory and power consumption were minimal, with 0.42 GB and 0.2 GB of memory usage for NVIDIA Jetson and Raspberry Pi devices, respectively, and an average 13.5% increase in power consumption per device. The machine learning models achieved nearly 93% detection accuracy and a 92% F1 score on the datasets used. Our framework demonstrates an effective and efficient method for detecting malware and attacks in Smart Environments. (shrink)

This project presents an innovative approach to the efficient enumeration of hidden service URLs (.onion) on the TOR network using a custom-built graphical user interface (GUI) application. The tool leverages web scraping techniques, targeting the Ahmia search engine, to retrieve and analyze active hidden server URLs. Through the integration of Python’s Tkinter library for GUI development and the use of requests and regular expressions for content mining, the application simplifies the process of discovering and visualizing .onion URLs. The tool allows (...) users to input search queries, clean them for web compatibility, and display the results in real time. Additionally, the application provides graphical insights into the search results by generating visual data representations using matplotlib. This paper discusses the architecture, development process, and functionality of the tool, providing a new method for researchers to explore the TOR network. (shrink)

en the increasing importance of human target detection in various security applications, many existing systems face challenges related to cost, accuracy, and adaptability. This work presents the development of a machine learning-based system called Human Target Detection and Acquisition, designed to assist security personnel in the detection and tracking of human targets through an adaptive and cost-effective approach. In this, standard CCTV cameras provide visual data, which intelligent algorithms process to identify and track human targets, even in challenging (...) conditions. The system offers user-specific dashboards: administrators can monitor detections and adjust system parameters, while security personnel receive real-time alerts and tracking information. Additionally, it supports continuous improvement through its machine learning capabilities, allowing for enhanced performance over time without the need for hardware upgrades. The architecture of the platform relies on TensorFlow, OpenCV, and database integration for efficient handling of video processing and data management. Initial testing suggests that it can provide accurate and reliable human target detection while significantly reducing costs compared to hardwareintensive solutions. Future work includes expanding the system's capabilities to handle multiple camera feeds simultaneously and implementing more advanced tracking algorithms. (shrink)

The research methodology involves data preprocessing, feature engineering, model training, and performance evaluation. We employ optimization methods such as Genetic Algorithms and Grid Search to fine-tune model parameters, ensuring robust and generalizable models. The dataset used includes patient medical records, with features like age, blood pressure, cholesterol levels, and lifestyle habits serving as inputs for the ML models. Evaluation metrics, including accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC), assess the model's predictive power.