Throughout the history of mankind, energy security has been always seen as a means of protection from disruptions of essential energy systems. The idea of protection from disorders emerged from the process of securing political and military control over energy resources to set up policies and measures on managing risks that affect all elements of energy systems. The various systems placed in a place to achieve energy security are the driving force towards the energy innovations or emerging trends (...) in the energy sector. Our paper discusses energy security status and innovations in the energy sector in European Union (EU). We analyze the recent up-to-date developments of the energy policy and exploitation of energy sources, as well as scrutinize the channels of energy streaming to the EU countries and the risks associated with this energy import. Moreover, we argue that the shift to the low-carbon production of energy and the massive deployment of renewable energy sources (RES) might become the key issue in ensuring the energy security and independency of the EU from its external energy supplies. Both RES, distributed energy resources (DER) and “green energy” that will be based on the energy efficiency and the shift to the alternative energy supply might change the energy security status quo for the EU. (shrink)

This paper examines the notion of the biopolitical body from the standpoint of Foucault’s logic of the security mechanism and the history he tells of vaccine technology. It then investigates how the increasing importance of the genetic code for determining the meaning and limits of the human in the field of 20th century cell biology has been a cause for ongoing transformation in the practices that currently extend vaccine research and development. I argue that these transformations mark the emergence (...) of a new kind of medical subject – the stabilized and infinitely reproducible human cell line – and that the practices and markets exploiting this new form of organism have had a destabilizing effect on the very biopolitical structures that engendered them and, in fact, mark a new way of conceiving the possibilities of cellular life. I call these new ways of organizing power that intervene in the logic of the security measure by mediating the relationship between populations and persons the microbiopolitical. (shrink)

In this paper, I argue that an account of security as a basic human right must incorporate moral security. Broadly speaking, a person possesses subjective moral security when she believes that her basic interests and welfare will be accorded moral recognition by others in her community and by social, political, and legal institutions in her society. She possesses objective moral security if, as a matter of fact, her interests and welfare are regarded by her society as (...) morally important—for example, when violent crimes against her being taken to warrant the same punishment and condemnation as equivalent crimes against others. Moral security, thus characterized, is an essential part of what it is to be secure as a human person, and any right to security must include it. In the first part of the paper I critique alternative narrower accounts of the right to security, before defending my account of moral security in Section 2. Section 3 explores how acts of racialized and gendered violence are attacks on the moral security of the victims and of all members of the groups to which the victims belong. Broader structural and institutional forms of racial and sexual discrimination further compound the impact of such acts on moral security. Understanding how racial and sexual discrimination and violence are attacks on moral security offers a new way of thinking about the scope and urgency of a state’s duty to combat racial and sexual discrimination, an issue I explore in the final section of the paper. -/- . (shrink)

This thesis examines the key moral principles that should govern decision-making by police and military when using lethal force. To this end, it provides an ethical analysis of the following question: Under what circumstances, if any, is it morally justified for the agents of state-sanctioned security institutions to use lethal force, in particular the police and the military? Recent literature in this area suggests that modern conflicts involve new and unique features that render conventional ways of thinking about the (...) ethics of armed conflict, and the use of lethal force, as inadequate or redundant. In particular, there is an increased concern with the moral difficulties created by “non-standard” cases. This is where the police or military are obliged to operate outside their conventional contexts. In such non-standard cases, on what moral basis can (or should) state actors – especially the police and military – use lethal force? One approach argues that there is nothing morally exceptional about the use of lethal force by police or military. This says the only available moral justification for using lethal force is killing in self-defence or defence of others. In contrast, I use an institutional approach to develop a moral framework for the state’s morally exceptional use of lethal force. The institutional approach is concerned with the ends (telos) or purpose of a social institution. It says that the moral purpose of a social institution alters the moral responsibilities of its agents; what is referred to as role morality. My analysis demonstrates that there is an important moral distinction between justified killing in self-defence and state-sanctioned uses of lethal force. My claim is that police and military uses of lethal force are not morally justified in the same way as the average person’s use of lethal force (i.e. self-defence or defence of others). Instead, I argue that the state-sanctioned institutional role of police and military give these state actors special moral duties, and therefore exceptional moral justification, for using lethal force. I argue that the institutional end of the police is the preservation of public safety. This includes using lethal force where it is necessary to protect life and prevent serious injury to jurisdictional inhabitants. In contrast, a morally responsible state uses military force to defend the “common good.” That is, when it is necessary to defend the peaceful functioning of a state from armed threats or other forms of political violence. I then conclude that non-standard cases require the addition of jus ad vim (or the just use of military force short-of-war) as a hybrid element to the moral framework for the state-sanctioned use of lethal force. This provides a better way of applying ethics to the use of military force when defending the common good against serious threats in non-standard cases. This is because jus ad vim complements the conventional military paradigm by permitting the use of military capabilities to defend the common good. But, at the same time, it inhibits the move towards the more destructive levels of violence characteristic of conventional warfighting. (shrink)

What makes safety claims about general purpose AI systems such as large language models trustworthy? We show that rather than the capabilities of security tools such as alignment and red teaming procedures, it is security practices based on these tools that contributed to reconfiguring the image of AI safety and made the claims acceptable. After showing what causes the gap between the capabilities of security tools and the desired safety guarantees, we critically investigate how AI security (...) practices attempt to fill the gap and identify several shortcomings in diversity and participation. We found that these security practices are part of securitization processes aiming to support (commercial) development of general purpose AI systems whose trustworthiness can only be imperfectly tested instead of guaranteed. We conclude by offering several improvements to the current AI security practices. (shrink)

The philosophical literature on personal relationships is focused on dyads: close relationships between just two people. This paper aims to characterise the value of looser and larger relational networks, particularly from the perspective of liberal political theory. We focus on relational networks' value vis-a-vis the important good of felt security. We begin by characterising felt security and analysing how felt security is produced within dyads. We highlight the ambivalent nature of dyadic relationships as a source of felt (...) security. We then theorise relational networks, explaining how they too can provide felt security. We explore three unappreciated benefits that arise when felt security is garnered from a network, rather than from a dyad. These benefits take liberal political theory as their starting point. We close by considering the implications - for both individual action and institutional design - of using relational networks as a source of felt security. (shrink)

In a recent study by Cai et al. about water shortages in Beijing-Tianjin-Hebei urban areas, virtual water has become the central concept of the groundwater security strategy by suggesting increasing imports of water-intensive agricultural products instead of utilizing the depleted groundwater resources for production. However, despite reviewing the content, we could not see how the authors discussed the households’ economic and financial issues from both production and consumption perspectives.

In the context of the digital economy development, the priority component of the economic security of an enterprise is changing from material to digital, constituting an independent element of enterprise security. The relevance of the present research is driven by the need to solve the issue of modernizing the economic security of the enterprise taking into account the new risks and opportunities of digitalization. The purpose of the academic paper lies in identifying the features of preventing internal (...) and external negative influences (threats) in order to guarantee the effective and stable functioning and dynamic social development of the enterprise in the context of digitalization. The research methods are as follows: general scientific research methods, in particular, logical analysis, theoretical substantiation, methods of induction and deduction, formalization and generalization, statistical observation. Results. It has been proposed to introduce the concept of “digital security of the enterprise” for replacing the concept of “information component of economic security” in order to bring the terminology in line with new economic realities. The implementation of the “black box” model has made it possible to identify the latest risks and threats to the economic security of an enterprise within the conditions of the digitalization that differs from the existing ones. The assessment of enterprises’ digital security of the European Union member states has revealed that the digital security level does not depend on the size of the country, however, it is influenced by the institutional environment (in particular, digital development tools in the EU) and the size of enterprises. Also, within the research framework, an assessment of the digital security level of enterprises in the context of digitalization has been proposed. In order to characterize enterprises by the level of digital security, a calculation procedure using the coefficient method has been proposed. (shrink)

This article focuses on the so-called “Area of Freedom, Security and Justice” (ASFJ), namely the policy field of the European Union (EU) that covers judicial and police cooperation, migration and asylum policies and the control of external borders. The article explores how the AFSJ has emerged and how, within it, the relationship between freedom and security has evolved over time and brought about a shift towards a “Security Union”.

: As organizations continue to adopt cloud computing for its numerous advantages—such as scalability, cost-efficiency, and flexibility—the need to secure digital assets within the cloud has never been more critical. Cloud security faces unique challenges due to the distributed and multi-tenant nature of cloud services. Cyber-attacks, data breaches, and misconfigurations are among the prominent risks that threaten the integrity, confidentiality, and availability of cloud-based data and applications. In this paper, we explore CloudGuard, an advanced security framework designed to (...) protect organizations' digital assets in the cloud. This fortress security approach focuses on implementing multiple layers of protection through cutting-edge technologies, such as encryption, identity and access management (IAM), threat intelligence, and security automation. We also highlight the integration of AI and Machine Learning to improve threat detection and response times, and blockchain's potential in ensuring data integrity and privacy. Through a comprehensive analysis, this paper outlines practical strategies for organizations to adopt CloudGuard and strengthen their security posture against evolving cyber threats in the digital world. (shrink)

As cloud-native architectures continue to evolve, microservices have become the foundation for scalable and resilient applications. However, the decentralized nature of microservices introduces significant security challenges, including service-to-service communication security, identity management, and traffic control. Service mesh technologies, such as Istio, Linkerd, and Consul, provide a powerful solution by offering decentralized security enforcement, mutual TLS (mTLS) encryption, fine-grained access control, and observability without modifying application code. This paper explores how service meshes enhance microservices security by implementing (...) zero-trust policies, automatic traffic encryption, and service authentication mechanisms. Through the integration of policy-based access control, workload identity, and anomaly detection, service mesh architectures significantly reduce the risk of unauthorized access, lateral movement attacks, and data breaches. Additionally, this study highlights best practices for deploying secure service meshes in cloud-native environments, ensuring compliance with industry security standards. The findings demonstrate that adopting a service mesh improves security posture while maintaining agility and performance in microservices-based applications. (shrink)

Cyber security incidents pose significant threats to organizations, potentially leading to data breaches, financial losses, and reputational damage. Effective incident response is crucial for mitigating these impacts and restoring normal operations. This research article explores comprehensive strategies and best practices for responding to cyber security incidents. By reviewing existing literature, analyzing related work, and identifying research gaps, the study aims to develop a robust framework for incident response. The methodology encompasses data collection, tool utilization, and algorithm implementation to (...) establish an efficient response mechanism. Results demonstrate the framework's effectiveness in enhancing incident detection, containment, and recovery processes. The study concludes with recommendations for improving incident response strategies and outlines future research directions. (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)

Freedom and security are often portrayed as things that have to be traded off against one another, but this view does not capture the full complexity of the freedom-security relationship. Rather, there seem to be four different ways in which freedom and security connect to each other: freedom can come at the cost of security, security can come at the cost of freedom, freedom can work to the benefit of security, and security can (...) work to the benefit of freedom. This paper analyses each of these connections in turn. It shows that particular understandings of freedom can help us to see particular connections between freedom and security. The practical examples used to illustrate these connections are drawn from the context of the COVID-19 pandemic. It will be suggested that, in the face of challenges such as this one, taking into account all four connections between freedom and security can ultimately help decision-makers in upholding both. (shrink)

Food security brings a number of benefits to humanity from which nobody can be excluded and which can be simultaneously enjoyed by all. An economic understanding of the concept sees food security qualify as a global public good. However, there are four other ways of understanding a public good which are worthy of attention. A normative public good is a good from which nobody ought to be excluded. Alternatively, one might acknowledge the benevolent character of a public good. (...) Others have argued that public goods demand being public in the sense of being visible to all. Finally, it has also been argued that public goods are those goods which need joint action to be produced and maintained. This chapter discusses these five understandings of the public good in relation to food security and highlights the advantage of assessing policies from each of these perspectives. (shrink)

Self-control is integral to successful human agency. Without it we cannot extend our agency across time and secure central social, moral, and personal goods. But self-control is not a unitary capacity. In the first part of this paper we provide a taxonomy of self-control and trace its connections to agency and the self. In part two, we turn our attention to the external conditions that support successful agency and the exercise of self-control. We argue that what we call moral (...) class='Hi'>security is a critical foundation for agency. Parts three and four explore what happens to agency when moral security is lacking, as in the case of those subject to racism, and those living in poverty. The disadvantages suffered by those who are poor, in a racial minority or other oppressed group, or suffering mental illness or addiction, are often attributed to a lack of individual self-control or personal responsibility. In particular, members of these groups are often seen as irresponsibly focused on short-term pleasures over long-term good, a view underwritten by particular psychological theories of self-control. We explore how narratives about racism and poverty undermine moral security, and limit and distort the possibility of synchronic and diachronic self-control. Where moral security is undermined, the connection between self-control and diachronic goods often fails to obtain and agency contracts accordingly. We close with some preliminary reflections on the implications for responsibility. (shrink)

Perceptually secured knowledge consists of beliefs that amount to knowledge just because they are based on suitable perceptual states. Relationism about the ground of perceptually secured knowledge is the view that if a perceptual state can make a belief based on it amount to knowledge, then it can do that because it constitutes an appropriate kind of relational state, e.g., a state of perceptual acquaintance. I explore the prospects of both maintaining that some beliefs amount to perceptually secured knowledge and (...) developing a relationist account of their ground. (shrink)

Traditional encryption methods provide a layer of security, but they often lack the robustness needed to address emerging threats. This paper introduces an optimized framework for secure cloud storage that integrates data encryption, decryption, and dispersion using cutting-edge optimization techniques. The proposed model enhances data security by first encrypting the data, then dispersing it across multiple cloud servers, ensuring that no single server holds the complete dataset. Decryption occurs only when the dispersed data fragments are reassembled, which adds (...) an additional layer of security. We also explore various optimization algorithms to improve the efficiency of encryption and dispersion processes, thereby reducing computational overhead while maintaining high security. The implementation of this framework is evaluated on multiple cloud platforms, demonstrating its effectiveness in safeguarding data with minimal performance impact. (shrink)

The exponential growth of data storage requirements has become a pressing challenge in hybrid cloud environments, necessitating efficient data deduplication methods. This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the (...) framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

The Internet Protocol (IP) is the source of Internet transmission but an inadequate authentication technique paves a way for IP spoofing. Since, IP spoofing initiates more attacks in the network, a secure authentication technique is required to defend against spoofing attacks. In order to achieve this, in this paper, we p ropose a (SVT) for defending IP spoofing attacks. Our technique authenticates IP address of each Autonomous System (AS) using Neighbour Authentication (NA) algorithm. The algorithm works by validating NA table (...) NA constructed by each node. The NA table is transmitted securely using RC-6 encryption algorithm. In addition to encryption, our technique use arithmetic coding to compress and decompress the NA table. The performance of our technique is proved through simulation results. Our technique incurs low overhead and significantly improves the performance of network. (shrink)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning (...) algorithm, and finally using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

The rapid growth of cloud computing has revolutionized how businesses and individuals store and access data. However, as the digital landscape expands, it becomes increasingly vulnerable to cyber threats. This paper delves into the security challenges and solutions in cloud computing, exploring various risks including data breaches, service interruptions, and unauthorized access. We examine the layers of security measures required to protect data in cloud environments, from encryption and authentication protocols to network security and compliance frameworks. By (...) emphasizing proactive security measures and emerging technologies, this paper aims to provide a comprehensive understanding of how to secure the cloud and its evolving infrastructure. Furthermore, the role of cloud service providers, regulatory standards, and the future of cloud security in the context of Artificial Intelligence (AI) and machine learning are also discussed. (shrink)

The importance of Big Data as a foundational component of the AI and ML landscape is not going away anytime soon. As a result, the past fifteen years have seen a tremendous investment in Big Data research. The purpose of this literature review is to compile the most recent results from Big Data studies conducted over the past fifteen years. The study will address questions about the main applications of Big Data analytics, the main challenges and limitations encountered by researchers, (...) and the present and future state of Big Data studies. The review follows a predetermined procedure that automatically examines five major digital libraries. Among the more recent branches of computer science is the study of large amounts of data. Social media, online shopping, blogs, financial institutions, healthcare providers, transactions, websites, applications, opinion forums, and a host of other sources all contribute to the accumulation of data. Various businesses, notably healthcare, make excellent use of it after processing. For data processing and analysis in the industrial sector, these massively generated datasets are indispensable. In order to investigate the value and potential of big data in healthcare and industrial processing applications, this article surveys the published works of numerous writers who have helped with data collecting, analysis, processing, and viewing. Data cleansing, missing value analysis, and outlier analysis are some of the opportunities and problems highlighted, in addition to the benefits and applications of big data. Outlier detection models, as well as methods for detecting and cleaning unclean data, were also suggested in this comprehensive review. (shrink)

Cloud security remains a top concern for enterprises. This study introduces AI Security, a risk governance framework integrating AI, DevSecOps, and predictive analytics to enhance compliance automation and threat intelligence in cloud environments.

Cloud computing has transformed data management by providing scalable and on-demand services, but its open and shared infrastructure makes it highly vulnerable to sophisticated cyber threats. Traditional Intrusion Detection Systems (IDS) struggle with dynamic and large-scale cloud environments due to high false positives, limited adaptability, and computational overhead. To address these challenges, this paper proposes an AI-driven Intrusion Detection System (AI-IDS) that leverages deep learning models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, to analyze network traffic, (...) detect anomalies, and identify advanced cyber threats with high accuracy. Unlike rule-based IDS, which rely on static signatures, our model continuously learns from real-time data, improving detection rates while reducing false alarms. The proposed AI-IDS is optimized for cloud infrastructure, ensuring low-latency threat detection, minimal computational burden, and real-time adaptability to emerging attack patterns. Experimental validation on benchmark datasets demonstrates significant improvements in accuracy, precision, and scalability, making AI-powered IDS a crucial innovation in cloud security. (shrink)

As businesses and individuals increasingly rely on cloud computing for a vast array of services, the need for robust cloud security becomes ever more critical. Cloud environments offer unparalleled flexibility, scalability, and cost-effectiveness but simultaneously introduce a complex security landscape that poses significant challenges. The importance of safeguarding data, applications, and systems from cyber threats in the cloud is paramount to maintaining the confidentiality, integrity, and availability of digital assets. This paper explores the evolving landscape of cloud (...) class='Hi'>security, identifying the risks and vulnerabilities inherent in cloud computing and the key strategies and technologies used to mitigate them. We introduce a comprehensive framework for cloud security that incorporates encryption, access management, threat detection, and compliance adherence. Emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), and blockchain are also discussed, showcasing their role in transforming cloud security practices. By analyzing best practices and future trends, this paper provides a roadmap for securing the digital frontier in an era increasingly defined by cloud computing. (shrink)

This research presents a novel and efficient public key cryptosystem known as the Enhanced Schmidt Samoa (ESS) cryptosystem, proposed to safeguard the data of a single owner in cloud computing environments. Data storage is a one-time process in the cloud, while data retrieval is a frequent operation. Experimental results demonstrate that the ESS cryptosystem offers robust data confidentiality in the cloud, surpassing the security provided by traditional cryptosystems. The research also introduces a secure cloud framework designed to accommodate both (...) individuals and organizations accessing applications and data in the cloud. While individual users may generate and share data, organizations often involve multiple users in data sharing to support their business processes. In these scenarios, multi-user data ownership and access management become critical, requiring secure sharing of cryptographic keys among the authorized users. To address these issues and ensure data confidentiality in multi-user cloud environments, the Improved Secure Cloud Data Storage Framework (ISCDSF) is introduced. This research not only enhances data security but also provides a comprehensive framework for secure data sharing in the cloud, catering to the needs of both individual users and organizations. (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)

This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. After a thorough investigation, the article shows how these methods may boost cloud storage system performance, security, and usability. Tests show that improved ABKS speeds up search searches and lowers storage costs, making it a viable cloud storage alternative. Exploring sophisticated machine learning algorithms for (...) predictive search improvements a. (shrink)

In the modern digital era, cloud storage has become an indispensable service due to its scalability, accessibility, and cost-effectiveness. However, with the vast amount of sensitive information stored on cloud platforms, ensuring data security and privacy remains a critical challenge. Traditional encryption techniques, while secure, often hinder efficient data retrieval, especially when using keyword searches. To address this, attribute-based keyword search (ABKS) offers a promising solution by allowing secure, fine-grained access control and efficient keyword searches over encrypted data. This (...) paper delves into the integration of optimization techniques within ABKS to enhance search efficiency and data security in cloud storage environments. We explore various optimization strategies, such as index compression, query processing enhancement, and encryption optimization, which aim to reduce computational overhead while maintaining robust security measures. Through a comprehensive analysis, the paper illustrates how these techniques can significantly improve the performance of cloud storage systems, ensuring both security and usability. Experimental results demonstrate that optimized ABKS not only accelerates search queries but also reduces storage costs, making it a viable solution for modern cloud storage challenges. Future research directions include exploring advanced machine learning algorithms for predictive search optimizations and further improving the resilience of ABKS against emerging security threats. (shrink)

In the present article, attention is focused on the existing potential to ensure national self-sufficiency, the main challenges to its achievement and future prospects. According to the authors, transportation and communication system of the country can become the dominant model for self-sufficient development, due to its geostrategic location which allows it to be an advantageous bridge for goods, and passengers transit transportation between the states of Europe, Asia and the Middle East. To date, the transport and communication system is hardly (...) the only sector of national economy, which is capable to become the catalyst for socio-economic growth without significant investment, a tool to achieve self-sufficient and safe level of Ukraine's development. -/- У представленій статті акцентовано увагу на наявних потенційних можливостях забезпечення національної самодостатності, основні проблеми на шляху її досягнення і подальші перспективи. Домінантою моделі самодостатнього розвитку країни може стати транспортно-комунікативна система, яка в силу геостратегічного розташування дозволяє їй бути вигідним мостом для транзитних перевезень товарів і пасажирів між державами Європи, Азії і Близького Сходу. На сьогоднішній день транспортно-комунікативна система є чи не єдиним сектором національної господарської системи, який здатний без істотних капіталовкладень стати каталізатором соціально-економічного зростання, інструментом досягнення самодостатнього і безпечного рівня розвитку України. (shrink)

The Internet of Things (IoT) is a rapidly growing technology that connects and integrates billions of smart devices, generating vast volumes of data and impacting various aspects of daily life and industrial systems. However, the inherent characteristics of IoT devices, including limited battery life, universal connectivity, resource-constrained design, and mobility, make them highly vulnerable to cybersecurity attacks, which are increasing at an alarming rate. As a result, IoT security and privacy have gained significant research attention, with a particular focus (...) on developing anomaly detection systems. In recent years, machine learning (ML) has made remarkable progress, evolving from a lab novelty to a powerful tool in critical applications. ML has been proposed as a promising solution for addressing IoT security and privacy challenges. In this article, we conducted a study of the existing security and privacy challenges in the IoT environment. Subsequently, we present the latest ML-based models and solutions to address these challenges, summarizing them in a table that highlights the key parameters of each proposed model. Additionally, we thoroughly studied available datasets related to IoT technology. Through this article, readers will gain a detailed understanding of IoT architecture, security attacks, and countermeasures using ML techniques, utilizing available datasets. We also discuss future research directions for ML-based IoT security and privacy. Our aim is to provide valuable insights into the current state of research in this field and contribute to the advancement of IoT security and privacy. (shrink)

This article addresses a few moments in the evolution of human security law in Iraq, focusing in particular on the Coalition Provisional Authority, the new Iraqi Constitution, Iraqi High Tribunal (successor to the Iraqi Special Tribunal), and the International Criminal Court. It synthesizes the results of some existing research on ongoing impunity for certain crimes against political candidates, journalists, anti-corruption activists, and ethnic and religious minorities, a situation which may have tainted Iraq’s transition to a more democratic republic, while (...) aggravating other conflicts, such as those in Syria. In theory, the institutions of human and national security can help reconcile peoples whose tenuous unity had been shattered in wartime. The sometimes competing priorities and policies of Iraqi politicians, civil society groups, and judges resulted in swift justice for Iraqi officials responsible for mass killings involving Shi’a Arab, Kurdish, and other victims, but a lack of justice for other segments of the population. The emphasis of some claims of injury over others may have "reenchanted" some sectors of Iraqi society with the state and its institutions, while alienating others and contributing to ruptures in the social fabric. The Coalition Provisional Authority, Iraqi leaders, and international community ensured that the high-profile proceedings against former regime officials would not be accompanied or followed by others that some Iraqis might perceive as being as pressing as those of the Iraqi High Tribunal, relating to the impact of sanctions and aerial bombardment, the legality of Iraq's occupation, torture, etc. (shrink)

According to principles of modal security, evidence undermines a belief only when it calls into question certain purportedly important modal connections between one’s beliefs and the truth (e.g., safety or sensitivity). Justin Clarke-Doane and Dan Baras have advanced such principles with the aim of blocking evolutionary moral debunking arguments. We examine a variety of different principles of modal security, showing that some of these are too strong, failing to accommodate clear cases of undermining, while others are too weak, (...) failing to do their advertised work of blocking evolutionary moral debunking arguments. If there is a security principle that slips between the horns of this dilemma—one that is both viable and debunker-blocking—it remains to be formulated. (shrink)

Cloud computing is the computing technology which provides resources like software, hardware, services over the internet. Cloud computing provides computation, software, data access, and storage services that do not require end- user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing enables the user and organizations to store their data remotely and enjoy good quality applications on the demand without having any burden associated with local hardware resources and software managements but it possesses (...) a new security risk towards correctness of data stored at cloud. The data storage in the cloud has been a promising issue in these days. This is due to the fact that the users are storing their valuable data and information in the cloud. The users should trust the cloud service providers to provide security for their data. Cloud storage services avoid the cost storage services avoids the cost expensive on software, personnel maintains and provides better performance less storage cost and scalability, cloud services through internet which increase their exposure to storage security vulnerabilities however security is one of the major drawbacks that preventing large organizations to enter into cloud computing environment. This work surveyed on several storage techniques and this advantage and its drawbacks. (shrink)

: As cloud-native architectures continue to evolve, microservices have become the foundation for scalable and resilient applications. However, the decentralized nature of microservices introduces significant security challenges, including service-to-service communication security, identity management, and traffic control. Service mesh technologies, such as Istio, Linkerd, and Consul, provide a powerful solution by offering decentralized security enforcement, mutual TLS (mTLS) encryption, fine-grained access control, and observability without modifying application code. This paper explores how service meshes enhance microservices security by (...) implementing zero-trust policies, automatic traffic encryption, and service authentication mechanisms. Through the integration of policy-based access control, workload identity, and anomaly detection, service mesh architectures significantly reduce the risk of unauthorized access, lateral movement attacks, and data breaches. Additionally, this study highlights best practices for deploying secure service meshes in cloud-native environments, ensuring compliance with industry security standards. The findings demonstrate that adopting a service mesh improves security posture while maintaining agility and performance in microservices-based applications. (shrink)

Cloud Computing provides vast storage facility. The requirement of this system is to improve the security and transmission performance in the cloud storage environment. Methods: This system provides two level of security for the cloud data. The Client Data Security Contrivance (CDSC) and Cloud Service Provider (CSP) Data Security Contrivance are the two methods which transforms the original data to cipher text. The security algorithm used in CDSC is Linguistic Steganography. Blowfish algorithm is used in (...) CSP Data Security Contrivance to convert the cipher text using a secret-key block cipher of 64-bits. This system is designed to increase security and to improve the transmission performance. Storage-cheating attack model and Privacy-cheating attack model are implemented to protect the data on cloud. Findings: This system increases security and improves transmission performance. The blowfish algorithm is secure against unauthorized attacks and runs faster than the popular existing algorithms. Storage-cheating attack model and Privacy-cheating attack model provides the data confidentiality for data stored in the cloud in higher way. Improvements: The system can be implemented in real cloud system in the future. (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)

Atomic energy developed from 1940 as a subject shrouded in secrecy. Identified successively as a crucial element in military strategy, national status and export aspirations, the research and development of atomic piles (nuclear chain-reactors) were nurtured at isolated installations. Like monastic orders, new national laboratories managed their specialist workers in occupational environments that were simultaneously cosseted and constrained, defining regional variants of a new state-managed discipline: reactor technology. This paper discusses the significance of security in defining the new subject (...) in the USA, UK and Canada – wartime allies with similar political traditions but distinct trajectories in this field during the Cold War. The intellectual borders and content of the subject developed differently in each country, shaped under the umbrella of secrecy by disparate clusters of expertise, industrial traditions, and national goals. The nascent cadre was contained until the mid 1950s by classified publications and state-sponsored specialist courses. The early context of high security filtered its members and capped enduringly both their professional aspirations and public engagement. (shrink)

In this study, the idea of the local African community as a social structure ensuring the security of its members is presented. An understanding of the concept of security is first briefly discussed, followed by the meaning of the concept of the local African community. The chapter also makes an a priori distinction between what one can call “moderate” and “radical” types of communal life and two case studies exemplifying them are presented. The chapter aims to analyze the (...) trade off, in terms of provision of security, including economic security, by local communities, for the shaping of a democratic political culture in Sub-Saharan Africa. Most importantly, however, this chapter also highlights the rationality that underpins the seemingly low-quality democratic political activities of members of local African communities. (shrink)

The application layer of the Open Systems Interconnection (OSI) model plays a critical role in enabling end-user interaction with network services, making it a primary target for cybersecurity threats. This paper reviews contemporary research on securing the application layer, addressing emerging threats such as injection attacks, malware, phishing, and zero-day vulnerabilities. Key strategies, including secure development practices, application firewalls, cryptographic protocols, and user education, are explored to mitigate these risks. The challenges of an evolving threat landscape and resource constraints are (...) discussed, along with future directions leveraging artificial intelligence, blockchain, and zero trust architecture to enhance security. The findings underscore the importance of a multifaceted approach to safeguarding the application layer in an increasingly hostile cyber environment. (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)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning (...) algorithm, and finally using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

Climate change increasingly impacts the resilience of ecosystems and agricultural production. On the one hand, changing weather patterns negatively affect crop yields and thus global food security. Indeed, we live in an age where more than one billion people are going hungry, and this number is expected to rise as climate-induced change continues to displace communities and thus separate them from their means of food production (Internal Displacement Monitoring Centre 2015). In this context, if one accepts a humancentric ethic, (...) then the focus would be on addressing impacts to agricultural production, and thus food security (Borlaug 1997; Navin 2012). On the other hand, ecological resilience is also being impacted by climate change, as species go extinct or migrate due to fluctuating temperatures and shifting weather patterns. This reduction of resilience negatively impacts ecosystem services and the ability of the natural world to support life (Palmer and Larson 2014; Urban 2015). From an environmental holist perspective, then, one could argue that the ethical path would be to focus on reducing negative impacts to species and/or local ecosystems rather than increasing crop yields. Thus, there appears to be a tension between the prioritization of crop yields and the mitigation of ecosystem impacts. While this tension is well established in the agricultural literature (Kirschenmann 2010; Noll 2018), climatezas lochange exacerbates the situation, as agricultural lands are stressed and climate-induced migrations increase already high demands for foodstuffs, thus bringing the conflict to the forefront (Macdonald et al. 2015; Food and Agriculture Organization of the United Nations 2017a). (shrink)

The authors of the scientific monograph have come to the conclusion that ensuring food security during martial law requires the use of mechanisms to support agricultural exports, diversify logistics routes, ensure environmental safety, provide financial and marketing support. Basic research focuses on assessment the state of agricultural producers, analysing the financial and accounting system, logistics activities, ensuring competitiveness, and environmental pollution. The research results have been implemented in the different decision-making models during martial law, international logistics management, digital audit, (...) agricultural lending, integrated marketing system, risk management and diversification of Ukrainian agricultural exports. The results of the study can be used in the developing of food security policies, programmes and strategies, agricultural production development, decision-making at the level of ministries and agencies that regulate food security management processes. The results can also be used by students and young scientists in the educational process and conducting scientific research on food security during martial law and Ukraine’s recovery economy after the victory. (shrink)

In our study of U.S. counterterrorism programs, we found that anthropology needs a mode of analysis that considers security as a form distinct from insecurity, in order to capture the very heterogeneity of security objects, logics and forms of action. This article first presents a genealogy for the anthropology of security, and identifies four main approaches: violence and State terror; military, militarization, and militarism; para-state securitization; and what we submit as “security analytics.” Security analytics moves (...) away from studying security formations, and how much violence or insecurity they yield, to identifying security forms of action, whether or not they are part of the nation-state. As a framework for anthropological inquiry, it is oriented toward capturing how these forms of action work and what types of security they produce. We then illustrate this approach through our fieldwork on counterterrorism in the domains of law enforcement, biomedical research and federal-state counter extremism. In each of our cases, we use security analytics to arrive at a diagnosis of the form of action. The set of conceptual distinctions that we propose as an aid to approaching empirical situations and the study of security is, on another level, a proposal for an approach to anthropology today. We do not expect that the distinctions that aid us will suffice for every situation. Rather, we submit that this work presents a set of specific insights about contemporary U.S. security, and an example of a new approach to anthropological problems. (shrink)

This article asks whether a country that suffers from serious environmental problems caused by another country could have a just cause for a defensive war? Danish philosopher Kasper Lippert-Rasmussen has argued that under certain conditions extreme poverty may give a just cause for a country to defensive war, if that poverty is caused by other countries. This raises the question whether the victims of environmental damages could also have a similar right to self-defense. Although the article concerns justice of war, (...) we will concentrate only on the issue of what can be just causes of war, instead of evaluating the entire justification of war. This is to say that we will limit our discussion to the question concerning just cause and leave aside more general questions concerning justness and moral permissibility of war. Our aim is to list the questions that must be made and settled if defensive war in the case of serious environmental problems is said to have (or not to have) a just cause. We will argue that there are three questions that are most important in this context. They are the question concerning liability, the question of collective responsibility, and the question whether environmental harms may create a “sufficient reason” for raising a war. (shrink)

Hybrid cloud environments combine private and public cloud infrastructures to optimize security, scalability, and cost-effectiveness. However, ensuring secure access control in such environments remains a critical challenge due to dynamic workloads, multi-tenancy, and cross-cloud authentication complexities. This paper explores access control models tailored for secure hybrid cloud deployment, focusing on Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and emerging Zero Trust principles. We analyze their effectiveness in mitigating unauthorized access, privilege escalation, and insider threats. Additionally, a novel hybrid (...) model integrating RBAC and ABAC is proposed to enhance security and flexibility while ensuring compliance with regulatory frameworks. The study also highlights the role of federated identity management and blockchain-based access control mechanisms in strengthening authentication and authorization in hybrid cloud environments. The results indicate that adaptive access control strategies can significantly enhance security without compromising performance. Future research should focus on AI-driven access control mechanisms and self-learning security models to further improve dynamic access control in hybrid cloud settings. (shrink)