The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time.

Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset (...) has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. (shrink)

This study aimed to identify the extent of the application of Cyber Security at the Ministry of Interior and National Security from the point of view of workers in the computer and information technology units. 70 employees, and the study tool (questionnaire) was distributed, and the comprehensive survey method was used, as (61) questionnaires were retrieved at a rate of (87.1%), and they were unloaded and analyzed using the SPSS statistical package. The study reached several results, including: (...) There was a high degree of agreement on the degree of Cyber Security application, which amounted to (74.8%). With a relative weight of (74.8%), and The Dimension efforts to monitor threats, it received a high degree of approval and a relative weight of (73.4%). Privacy has a high degree of approval with a relative weight of (78.4%).The study presented a set of recommendations, the most important of which are: the need to pay attention to providing the Ministry of Interior and National Security with a budget in order to activate and improve the Cyber Security system, and the need for the Ministry of Interior and National Security to use a protection network capable of detecting all threats, and the cooperation of the Ministry of Interior and National Security with external institutions to limit penetration of network systems, In addition to the need to continuously strengthen and develop the laws and legislations of the Ministry of Interior in line with the development of Cyber Security, and to enhance the capabilities of the public beneficiaries of the ministry's electronic services to reduce security gaps in the field of Cyber Security. (shrink)

The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion (...) Detection System (KDD Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. Then, to implement the Deep learning algorithms is proposed. Method Classification using SVM algorithm Model predict is done. (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)

Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset (...) has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. Then, to implement the Deep learning algorithms is proposed. Method Classification using SVM algorithm Model predict is done. Testing dataset for anomaly detection model classified as attack or normal. Finally, the experimental results shows that the performance metrics such as accuracy, precision, recall and confusion matrix. (shrink)

To secure computers and information systems from attackers taking advantage of vulnerabilities in the system to commit cybercrime, several methods have been proposed for real-time detection of vulnerabilities to improve security around information systems. Of all the proposed methods, machine learning had been the most effective method in securing a system with capabilities ranging from early detection of software vulnerabilities to real-time detection of ongoing compromise in a system. As there are different types of cyberattacks, each (...) of the existing state-of-the-art machine learning models depends on different algorithms for training which also impact their suitability for detection of a particular type of cyberattack. In this research, we analyzed each of the current state-of-the art machine learning models for different types of cyberattack detection from the past 10 years with a major emphasis on the most recent works for comparative study to identify the knowledge gap where work is still needed to be done with regard to detection of each category of cyberattack. (shrink)

The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while (...) reducing computational overhead. By leveraging advanced optimization techniques such as Grid Search and Particle Swarm Optimization (PSO), the proposed SVM-based IDS achieves superior classification results. (shrink)

The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while (...) reducing computational overhead. By leveraging advanced optimization techniques such as Grid Search and Particle Swarm Optimization (PSO), the proposed SVM-based IDS achieves superior classification results. (shrink)

The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection system's decision-making process. The Genetic Ranking Optimization Algorithm (GROA) is used to rank (...) phishing content based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time. (shrink)

The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while (...) reducing computational overhead. (shrink)

This book aims to provide a comprehensive analysis of Advanced Persistent Threats (APTs), including their characteristics, origins, methods, consequences, and defense strategies, with a focus on detecting these threats. It explores the concept of advanced persistent threats in the context of cyber security and cyber warfare. APTs represent one of the most insidious and challenging forms of cyber threats, characterized by their sophistication, persistence, and targeted nature. The paper examines the origins, characteristics and methods used by (...) APT actors. It also explores the complexities associated with APT detection, analyzing the evolving tactics used by threat actors and the corresponding advances in detection methodologies. It highlights the importance of a multi-faceted approach that integrates technological innovations with proactive defense strategies to effectively identify and mitigate APT. (shrink)

The classification system was evaluated using benchmark phishing datasets, and the results demonstrated a significant improvement in detection accuracy and reduced false positives. The proposed model outperformed traditional machine learning algorithms, showing promise for real-world deployment in phishing detection systems. We conclude with suggestions for future improvements, such as incorporating more behavioral data and deploying the system in realtime monitoring applications.

The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time. The classification system was evaluated using benchmark phishing datasets, and the results demonstrated a significant improvement in detection accuracy and reduced (...) false positives. (shrink)

The Internet of Things (IoT) connects schemes, programs, data management, and operations, and as they continuously assist in the corporation, they may be a fresh entryway for cyber-attacks. Presently, illegal downloading and virus attacks pose significant threats to IoT security. These risks may acquire confidential material, causing reputational and financial harm. In this paper hybrid optimization mechanism and deep learning,a frame is used to detect the attack prevention in IoT. To develop a cybersecurity warning system in a huge (...) data set, the cybersecurity warning systems index system is first constructed, then the index factors are picked and measured, and finally, the situation evaluation is done.Numerous bio-inspired techniques were used to enhance the productivity of an IDS by lowering the data dimensionality and deleting unnecessary and noisy input. The Grey Wolf Optimization algorithm (GWO) is a developed bio-inspired algorithm that improves the efficacy of the IDS in detecting both regular and abnormal congestion in the network. The smart initialization step integrates the different pre-processing strategies to make sure that informative features are incorporated in the early development stages, has been improved. Researchers pick multi-source material in a big data environment for the identification and verification of index components and present a parallel reduction approach based on the classification significance matrix to decrease data underlying data characteristics. For the simulation of this situation, grey wolf optimization and whale optimization were combined to detect the attack prevention and the deep learning approach was presented. Utilizing system software plagiarism, the TensorFlow deep neural network is intended to classify stolen software. To reduce the noise from the signal and to zoom the significance of each word in the perspective of open-source plagiarism, the tokenization and weighting feature approaches are utilized. Malware specimens have been collected from the Mailing database for testing purposes. The experimental findings show that the suggested technique for measuring cyber security hazards in IoT has superior classification results to existing methods. Hence to detect the attack prevention in IoT process Whale with Grey wolf optimization (WGWO) and deep convolution network is used. (shrink)

Revista IT & C este o publicație trimestrială din domeniile tehnologiei informației și comunicații, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL / EDITORIAL -/- Levering Data Science in the Detection of Advanced Persistent Threats Utilizarea științei datelor în detectarea amenințărilor persistente avansate -/- TEHNOLOGIA INFORMAȚIEI / INFORMATION TECHNOLOGY -/- Detecting Advanced Persistent Threats in Cyber Warfare – Academic Studies Detectarea amenințărilor persistente avansate în războiul cibernetic – Studii academice -/- TELECOMUNICAȚII / TELECOMMUNICATIONS -/- Artificial (...) Intelligence in Communications in Electronic Warfare Inteligența artificială în comunicații în războiul electronic -/- PROGRAMARE / PROGRAMMING -/- Artificial Intelligence Algorithms in Electronic Warfare Algoritmi de inteligența artificială utilizați în războiul electronic -/- SECURITATE CIBERNETICĂ / CYBER SECURITY -/- Cyber Attack Case Studies – Advanced Persistent Threats Studii de caz privind atacurile cibernetice – Amenințările persistente avansate -/- ISSN 2821-8469 ISSN-L 2821-8469, DOI: 10.58679/IT78551 . (shrink)

Purpose: The research explored empirical evidence to assess the impact of cyber security and supply chain risk on digital operations in the UAE pharmaceutical industry. Methodology/Design/Approach: Based on responses from 243 personnel working at 14 pharmaceutical manufacturing companies in Dubai, data were examined for normality, instrument validity and regression analysis. Cyber security and SC risk on digital operations were explored by applying convenient sampling and descriptive and analytical research design. Findings: The findings validated the significant positive (...) association between cyber security and supply chain risk with digital operations. Research implications and Limitations: The research model was developed with three variables evaluated only on the pharmaceutical industry in Dubai. Future research should focus on multiple manufacturing industries by covering a larger geographic area. Practical implications: When suppliers are highly concentrated, customer-focused organisations with uncertain levels of digital transformation could improve their ability to manage supply chain risk by diversifying their clients. Pharmaceutical firms may require a greater focus on technology-based manufacturing firms to build and maintain customer trust. Originality Value: To illustrate how the pharmaceutical industry has explored the relationship between cyber security, supply chain risk and digital operations, the research highlights the significant and convoluted consequences of the relationship model that have not been previously considered. (shrink)

Artificial Intelligence is becoming widespread and as we continue ask ‘can we implement this’ we neglect to ask ‘should we implement this’. There are various frameworks and conceptual journeys one should take to ensure a robust AI product; context is one of the vital parts of this. AI is now expected to make decisions, from deciding who gets a credit card to cancer diagnosis. These decisions affect most, if not all, of society. As developers if we do not understand or (...) use fundamental modelling principles then we can cause real harm to society. Recently more serious effects of AI have been observed. Dehumanisation is the human reaction to overused anthropomorphism and lack of social contact caused by excessive interaction with, or addiction to, technology. This can cause humans to devalue technology and to devalue other humans. This is a contradiction of the use of ‘social robots’ and ‘chatbots’, indicating that the negative effects of this technology would outweigh any perceived positive effects. Also, within cyberspace, anthropomorphism and similar techniques based on deep philosophical principles can, and are, being used to alter the behaviour of humans. These techniques are used to manipulate human behaviours at a basic level in the human mind. As these types of techniques are becoming more widespread, it is clear that we are entering unchartered territory that holds a vast array of consequences for society. (shrink)

E-Government refers to the administration of Information and Communication Technologies (ICT) to the procedures and functions of the government with the objective of enhancing the transparency, efficiency and participation of the citizens. E-Government is tough systems that require distribution, protection of privacy and security and collapse of these could result in social and economic costs on a large scale. Many of the available e-government systems like electronic identity system of management (eIDs), websites are established at duplicated databases and servers. (...) An established validation and management system could face a single failure point and the system is prone to Distributed Denial of Service Attacks (DDoS), denial of service attacks (DoS), malware and other cyber attacks. The execution of a privacy preserving and a secure decentralized system is enabled by the block chain technology. Here any third-party organizations do not have any control over the transactions of the Government. With the help of block chain technology, new and existing data are encapsulated within ledger or blocks, which are evenly distributed through the network in an enduring and sustainable way. The privacy and security of information are improved with the help of block chain technology, where distribution and encryption of data are performed through the total network. This analytical paper maps out the analysis of the security in the e-government system, utilizing the block chain technology that provides privacy and security of information and thereby enhancing the trust among the public sector. Qualitative and theoretical analysis is made for the proposed topic and implications of privacy and security of the proposed system is made. (shrink)

האם לאנושות יש אינטרס לפתח פילוסופיה של אבטחת סייבר כדיסציפלינה פילוסופית | מאת: הילל קוברובסקי | תוכן המאמר לפי נושאים | 1. מבוא - מהם האתגרים בתחילת הדרך על מנת לבנות מהיסוד ולפתח דיסציפלינה חדשה בתחום הפילוסופיה | 2. מהי משמעות המושג "מרחב הסייבר" לעומת "אבטחת הסייבר", מהם גבולות התיחום של הענף הקרוי סייבר | 3. מהי פילוסופיה ?, מהן הפילוסופיות שיכולות להוות השפעה עבור הפילוסופיה של אבטחת הסייבר | 4. מהן הבעיות והשאלות המהותיות בהן צריכה לדון הפילוסופיה של אבטחת (...) הסייבר | 5. מהם הגורמים שיכולים להוות קטליזטור להתפתחות דיסציפלינה פילוסופית עצמאית בתחום אבטחת הסייבר | 6. סיכום – האם לאנושות יש אינטרס לפתח פילוסופיה של אבטחת הסייבר כדיסציפלינה פילוסופית. (shrink)

In the real world there are people who enter the homes and steal everything they find valuable. In the virtual world there are individuals who penetrate computer systems and "steal" all your valuable data. Just as in the real world, there are uninvited guests and people feel happy when they steal or destroy someone else's property, the computer world could not be deprived of this unfortunate phenomenon. It is truly detestable the perfidy of these attacks. For if it can be (...) observed immediately the apparent lack of box jewelry, penetration of an accounting server can be detected after a few months when all clients have given up the company services because of the stolen data came to competition and have helped it to make best deals. Cybercrime is a phenomenon of our time, often reflected in the media. Forensic investigation of computer systems has a number of features that differentiate it fundamentally from other types of investigations. The computer itself is the main source of information for the investigator. CONTENTS: Computing systems and storage media - Computing devices - - Peripheral devices - - External drives for media storage - Typology of data stored on specific supports – File systems - - Program that allows working with ” inactive” space - Information that can be obtained from the computing system environment Computer networks - Copper wire in computer networks - Optical fibers - Wireless LAN - Internet and Intranet Software and services - Client/server architecture - Protocols and Standards - Internet Services - - e-Mail - - - Spam - - HTTP - - Web address - URL - - Web browsers - - - Browser cookies - - Working with web pages - - - Choosing your favorite web pages - - - Keeping track of visited web pages - - - Saving web pages - - Proxy servers - - Privacy on the Internet - FTP - Instant Messaging - Peer-to-peer networks Vulnerabilities - The first attacks on the Internet - Cybercrime - - Typologies of cyber attackers - - - Classification of cyber attackers according to their skills and objectives - Classification of risks and incidents in cyberworld - - Classification as a list of terms - - List of categories - - Categories of results - - Empirical lists - Events, attacks and incidents - Online security events, actions, and targets - - Actions - - Targets - Attacks - - Tools - - Vulnerabilities - - Unauthorized results Cybercrime laws - The concept of "cybercrime" Investigations - Computer forensic investigations - Digital evidence - Digital sampling during investigations - The suspect - Witnesses in cybercrime - Transporting of samples in laboratory - Analysis of samples - Preparing team members - Computer tools Convention on Cybercrime - Preamble - Chapter I – Use of terms - Chapter II – Measures to be taken at the national level - - Section 1 – Substantive criminal law - - - Title 1 – Offences against the confidentiality, integrity and availability of computer data and systems - - - Title 2 – Computer-related offences - - - Title 3 – Content-related offences - - - Title 4 – Offences related to infringements of copyright and related rights - - - Title 5 – Ancillary liability and sanctions - - Section 2 – Procedural law - - - Title 1 – Common provisions - - - Title 2 – Expedited preservation of stored computer data - - - Title 3 – Production order - - - Title 4 – Search and seizure of stored computer data - - - Title 5 – Real-time collection of computer data - - Section 3 – Jurisdiction - Chapter III – International co-operation - - Section 1 – General principles - - - Title 1 – General principles relating to international co-operation - - - Title 2 – Principles relating to extradition - - - Title 3 – General principles relating to mutual assistance - - - Title 4 – Procedures pertaining to mutual assistance requests in the absence of applicable international agreements - - Section 2 – Specific provisions - - - Title 1 – Mutual assistance regarding provisional measures - - - Title 2 – Mutual assistance regarding investigative powers - - - Title 3 – 24/7 Network - Chapter IV – Final provisions Recommendation No. R (95) 13 - Appendix to Recommendation No. R (95) 13 - - I. Search and seizure - - II. Technical surveillance - - III. Obligations to co-operate with the investigating authorities - - IV. Electronic evidence - - V. Use of encryption - - VI. Research, statistics and training - - VII. International co-operation Rules for obtaining digital evidence by police officers Standards in the field of digital forensics Principles in digital evidence Procedures model for the forensic examination - Hard disk examination Code of Ethics Sources and references About - Nicolae Sfetcu - - By the same author - - Contact Publishing House - MultiMedia Publishing . (shrink)

The main purpose of the study is to determine the key aspects of the mechanisms of state management of the exchange of information about cyberattacks, cyber incidents, and information security incidents. The methodology includes a set of theoretical methods. Modern government, on the one hand, must take into account the emergence of such a new weapon as cyber, which can break various information systems, can be used in hybrid wars, influence political events, pose a threat to the (...) national security of any state. As a result of the study, key elements of the mechanisms of state management of the exchange of information about cyberattacks, cyber incidents, and information security incidents were identified. (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 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)

Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...) are a serious threat to online security. They can be very effective, as they often look very convincing. To protect yourself from web page phishing attacks, you should be suspicious of any emails or messages that ask for your personal information. Do not click on links in emails or messages from unknown senders. If you are unsure whether a website is legitimate, do not enter your personal information. Therefore, in this study, we present a novel approach to detect whether a web page is phishing or legitimate using a neural network model. (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)

Introduction: the objective of the investigation is to analyse the informational operating-mode of the brain and to extract conclusions on the structure of the informational system of the human body and consciousness. Analysis: the mechanisms and processes of the transmission of information in the body both by electrical and non-electrical ways are analysed in order to unify the informational concepts and to identify the specific essential requirements supporting the life. It is shown that the electrical transmission can be described (...) by typical YES/NO (all or nothing) binary units as defined by the information science, while the inter and intra cell communication, including within the synaptic junction, by mechanisms of embodiment/disembodiment of information. The virtual received or operated information can be integrated in the cells as matter-related information, with a maximum level of integration as genetically codified info. Therefore, in terms of information, the human appears as a reactive system changing information with the environment and between inner informational subsystems which are: the centre of acquisition and storing of information (acquired data), the centre of decision and command (decision), the info-emotional system (emotions), the maintenance informational system (matter absorption/desorption/distribution), the genetic transmission system (reproduction) and info-genetic generator (genetically assisted body evolution). The dedicated areas and components of the brain are correlated with such systems and their functions are specified. Result: the corresponding cognitive centres projected into consciousness are defined and described according to their specific functions. The cognitive centres, suggestively named to appropriately include their main characteristics are detected at the conscious level respectively as: memory, decisional operation (attitude), emotional state, power/energy status and health, associativity and offspring formation, inherited predispositions, skills and mentality. The near-death and religious experiences can be explained by an Info-Connection pole. Conclusion: consciousness could be fully described and understood in informational terms. (shrink)

Bayesian classifiers perform well when each of the features is completely independent of the other which is not always valid in real world applications. The aim of this study is to implement and compare the performances of each variant of the Bayesian classifier (Multinomial, Bernoulli, and Gaussian) on anomaly detection in network intrusion, and to investigate whether there is any association between each variant’s assumption and their performance. Our investigation showed that each variant of the Bayesian algorithm blindly follows (...) its assumption regardless of feature property, and that the assumption is the single most important factor that influences their accuracy. Experimental results show that Bernoulli has accuracy of 69.9% test (71% train), Multinomial has accuracy of 31.2% test (31.2% train), while Gaussian has an accuracy of 81.69% test (82.84% train). Going deeper, we investigated and found that each Naïve Bayes variants performances and accuracy is largely due to each classifier assumption, Gaussian classifier performed best on anomaly detection due to its assumption that features follow normal distributions which are continuous, while multinomial classifier have a dismal performance as it simply assumes discreet and multinomial distribution. (shrink)

Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. (...) In our proposed system we propose a new forecasting method that uses a Convolutional Neural Network monthly rainfall for a selected location. In our proposed system we are going to forecast the rainfall result based on the mean square error, mean absolute error and root mean square error, which we get in train and test of the dataset based deep learning technique. (shrink)

General Relativity defines gravity like the metric of a Lorentzian manifold. Einstein formulated spacetime as quality structural of gravity, i.e, circular definition between gravity and spacetime, also Einstein denoted "Space and time are modes by which we think, not conditions under which we live" and “We denote everything but the gravitational field as matter”, therefore, spacetime is nothing and gravity in first approximation an effect of coordinates, and definitely a geometric effect. The mathematical model generates quantitative predictions coincident in high (...) grade with observations without physical meaning. Philosophy intervened: in Substantivalism, spacetime exists in itself while in Relationalism as metrical relations. But, it does not know what spacetime. The outcomes of model have supported during a century, validity of the General Relativity, interpreted arbitrarily. Einstein formulated, from quadrupoles of energy, the formation of ripples in spacetime propagating as gravitational waves abandoned, in 1938, when he said that they do not exist. LIGO announced the first detection of gravitational waves from a pair of merging black holes. They truly are waves of quantum vacuum. (shrink)

Cloud computing has become an essential component of enterprises and organizations globally in the current era of digital technology. The cloud has a multitude of advantages, including scalability, flexibility, and cost-effectiveness, rendering it an appealing choice for data storage and processing. The increasing storage of sensitive information in cloud environments has raised significant concerns over the security of such systems. The frequency of cyber threats and attacks specifically aimed at cloud infrastructure has been increasing, presenting substantial dangers to (...) the data, reputation, and financial stability of enterprises. Conventional security methods can become inadequate when confronted with ever intricate and dynamic threats. Artificial Intelligence (AI) technologies possess the capacity to significantly transform cloud security through their ability to promptly identify and thwart assaults, adjust to emerging risks, and offer intelligent perspectives for proactive security actions. The objective of this research study is to investigate the utilization of AI technologies in augmenting the security measures within cloud computing systems. This paper aims to offer significant insights and recommendations for businesses seeking to protect their cloud-based assets by analyzing the present state of cloud security, the capabilities of AI, and the possible advantages and obstacles associated with using AI into cloud security policies. (shrink)

Cyber attackers targeting large corporations achieved a high perimeter penetration success rate during 2013, resulting in many corporations incurring financial losses. Corporate information technology leaders have a fiduciary responsibility to implement information security domain processes that effectually address the challenges for preventing and deterring information security breaches. Grounded in corporate governance theory, the purpose of this correlational study was to examine the relationship between strategic alignment, resource management, risk management, value delivery, performance measurement implementations, and information (...) class='Hi'>security governance (ISG) effectiveness in United States-based corporations. Surveys were used to collect data from 95 strategic and tactical leaders of the 500 largest for-profit United States headquartered corporations. The results of the multiple linear regression indicated the model was able to significantly predict ISG effectiveness, F(5, 89) = 3.08, p = 0.01, R² = 0.15. Strategic alignment was the only statistically significant (t = 2.401, p <= 0.018) predictor. The implications for positive social change include the potential to constructively understand the correlates of ISG effectiveness, thus increasing the propensity for consumer trust and reducing consumers' costs. (shrink)

In india each and every minute one person become internet users. its convergence with digitally supported platforms and gadgets, safeguarding the parents as well as students from the cybercrimes is becoming a challenging task. In addition to, the pinching reality is that the internet users are not getting updated on the vulnerable cyber threats and security issues, at the pace they are getting updated with the usage of internet enabled tools and apps. Thus the current research paper focuses (...) in finding out the answers to alarming questions - "Is the netizen really aware that he she is vulnerable to various cyber crimes " "If netizen is aware, to what extent ", "If not aware of cybercrimes, what measures can be adopted to make the nitzens more aware and updated. The paper suggested a conceptual model explaining how to uphold and implement the awareness programmes among internet users regarding cybercrimes. Jigar Shah "A Study of Awareness About Cyber Laws for Indian Youth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016,. (shrink)

Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest over (...) a restful Application Programming Interface (API). We are able to successfully Implement data mining on cloud computing bypassing or avoiding direct interaction with data warehouse and without any terminal involve by using combination of IBM Cloud storage facility, Amazing Web Service, Application Programming Interface and Window service along with a decision tree and Random Forest algorithm for our classifier. We were able to successfully bypass direct connection with the data warehouse and cloud terminal with 94% accuracy in our model. (shrink)

In “Risk Based Passenger Screening in Aviation Security: Implications and Variants of a New Paradigm”, Sebastian Weydner-Volkmann describes the current paradigm shift from ‘traditional’ forms of screening to ‘risk based passenger screening’ (RBS) in aviation security. This paradigm shift is put in the context of the wider historical development of risk management approaches. Through a discussion of Michel Foucault, Herfried Münkler and Ulrich Beck, Weydner-Volkmann analyses the shortcomings of such approaches in public security policies, which become especially (...) evident in the aviation security context. As he shows, the turn towards methods of RBS can be seen as an attempt to address a trade-off ‘trilemma’ between the effective provision of security, the implied costs for industry and passengers, and the ethical, legal and societal implications of the screening procedures. In order to analyse foreseeable outcomes of embracing RBS, he differentiates three prototypical variants of the new paradigm on the basis of their main referent and rationale. For each variant, he then subsequently assesses the implications for the ‘trilemma’, after having unveiled the criteria of analysis that will necessarily have to be followed within a serious appraisal of RBS methods. (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)

This book is an edited collection of original research papers on the digital revolution of the public and governance. It covers cyber governance in Finland, and the securitization of cyber security in Finland. It investigates the cases of Brexit, the 2016 US presidential election of Donald Trump, the 2017 presidential election of Volodymyr Zelensky, and Brexit. It examines the environmental concerns of climate change and greenwashing, and the impact of digital communication giving rise to the #MeToo and (...) Incel movements. It considers how digitilization can serve to emancipate women through ride-sharing, and how it leads to the question of robot rights. It considers fake news and algorithmic governance with respect to case studies of the Chinese social credit system, the US FICO credit score, along with Facebook, Twitter, Cambridge Analytica and the European effort to regulate and protect data usage. (shrink)

Risk assessment is one of the prerequisites for understanding its causes and possible consequences. We base our risk assessment on the principles described in the European standard EN 31000 - Risk Management Process. This standard comprehensively describes the continuous activities that are necessary in managing risks and minimizing their possible adverse effects on the operation of the system under investigation. In this activity, it is necessary to first identify the existing risks, then analyze and evaluate the identified risks. In the (...) analysis of existing risks, it is possible to use both qualitative and quantitative analytical methods, or combine them. We use qualitative methods in cases where we do not have a sufficient amount of input information, these are more subjective. Quantitative methods are more accurate, but also more demanding on input information and time. The choice of a suitable analytical method is a basic prerequisite for knowledge of risks and their evaluation. The values of individual risks obtained in this way are the basis for determining the measures that are ecessary to minimize them, i.e., to adjust them to an acceptable level. The draft measures are always based on the value of the individual components used to calculate the risk number, as well as on the value of the asset , which needs to be protected. Appropriately chosen analytical methods are one of the basic prerequisites for the consistent application of the principles of risk management, as a continuous process aimed at increasing the overall security of the system under study. In the article, the author describes the procedures used in risk assessment, as well as specific analytical methods that can be used in working with risks. The aim of identifying risk factors is to create a list of events that could cause undesirable disruption to ongoing processes. At this stage, we define all the risks that will be subsequently analyzed and evaluated. When identifying, we can use methods such as, e.g. SWOT, PHA (Preliminary Hazard Analysis) or CA (Checklist Analysis). Methods suitable for determining the causes and creating scenarios for the course of a risk event are ETA (Event Tree Analysis) or FTA (Fault Tree Analysis). The basic analysis of the system can be performed using the FMEA method (Failure Mode and Effect Analysis), which provides a numerical risk assessment. By comparison with the numerical value of the risk that we are willing to accept, we obtain 2 groups of risks. Acceptable, which will be given regular attention and unacceptable, which we will focus on in risk management and we will try to minimize its negative affect on the functioning of the system under study. (shrink)

The purpose of the study is to forecast the number of passengers transported by air in the United States for 2021-2022. The forecast is preceded by a multidimensional comparative analysis of the number of passengers transported by air in the United States from 1 January 2019 to 2 November 2021. To achieve this goal, the data were grouped as dependent variables: years, months-years. The observed similarities, the analysis and evaluation of the literature as well as the own experience made it (...) possible to forecast primary data for the future. The obtained results show a growing trend in the number of passengers transported by air in the United States. The forecast for 3 November 2021 to 31 December 2022 is 837 459 877 prospective air passengers in the United States. The standard deviation of the obtained forecast was 255 680,3, the arithmetic mean was 1 975 141 passengers and the median was 1 998 478 passengers. The observed similar trends in the identical months of July-October in 2019 and 2021 as well as the analysis of the literature and the own experience allowed for the selection of a method for the forecasting of the number of passengers transported by air in the United States for the future. The detected regularities as recurring trends in the number of air passengers transported in the United States on a dynamic basis may be used to forecast them for the future. (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)

This article assesses how autonomy and machine learning impact the existential risk of nuclear war. It situates the problem of cyber security, which proceeds by stealth, within the larger context of nuclear deterrence, which is effective when it functions with transparency and credibility. Cyber vulnerabilities poses new weaknesses to the strategic stability provided by nuclear deterrence. This article offers best practices for the use of computer and information technologies integrated into nuclear weapons systems. Focusing on nuclear command (...) and control, avoiding autonomy and machine learning is recommended as one means to reduce the existential risk of unintended nuclear conflict. (shrink)

The use of the internet in the current government environment continues to grow. The increasingly complex use of the internet can cause vulnerabilities to cyber attacks in information security, which include aspects of confidentiality, integrity, and service availability, so that it can disrupt the performance of public service delivery. The systematic literature review research method was carried out because of the large amount of information and data regarding cyber security strategies. This can be traced through various (...) information in books, scientific journals, newspapers, magazines, as well as sources of information from web pages/websites via the internet. This method is important in analyzing the concept of cyber security strategy in Indonesia. The obstacles that the government has are expired devices that are still used on local government networks, which may not have the latest updates, security devices such as antiviruses have expired, human resources have not fully supported this cybersecurity. Indonesia needs policies that regulate all elements related to cyber security. This infrastructure standard must comply with international standards for dealing with cyber warfare. (shrink)

The rapid proliferation of artificial intelligence (AI) technologies has ushered in a new era of opportunities and challenges, prompting nations to grapple with the concept of AI sovereignty. This article delves into the definition and implications of AI sovereignty, drawing parallels to the well-established notion of cyber sovereignty. By exploring the connotations of AI sovereignty, including control over AI development, data sovereignty, economic impacts, national security considerations, and ethical and cultural dimensions, the article provides a comprehensive understanding of (...) this emerging paradigm. The potential controversies surrounding AI sovereignty, such as the tension between national interests and global cooperation, technological protectionism, human rights and privacy issues, and the risk of exacerbating global inequalities, are critically examined. To navigate these complexities and facilitate responsible AI governance, the article proposes a multifaceted international governance framework. Key recommendations include fostering multilateral cooperation and standards-setting, implementing transparency and accountability measures, establishing ethical guidelines and human rights protections, developing mechanisms for technology transfer and capacity building, and instituting robust dispute resolution and enforcement protocols. Ultimately, this article underscores the need for a balanced and collaborative approach to AI governance that aligns technological advancement with ethical integrity and global solidarity. (shrink)

Revista IT & C este o publicație trimestrială din domeniile tehnologiei informației și comunicații, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL / EDITORIAL -/- Challenges and Limitations in the Use of Artificial Intelligence Provocări și limitări în utilizarea inteligenței artificiale -/- TEHNOLOGIA INFORMAȚIEI / INFORMATION TECHNOLOGY -/- Impact of Big Data Technology on Contemporary Society Impactul tehnologiei Big Data asupra societății contemporane -/- Methods, Techniques and Patterns of Advanced Persistent Threats – APT Lifecycle Metode, tehnici și (...) modele ale amenințărilor persistente avansate – Ciclul de viață al APT -/- TELECOMUNICAȚII / TELECOMMUNICATIONS -/- The Revolutionary Role of Blockchain Technology in Communication Rolul revoluționar al tehnologiei blockchain în comunicare -/- PROGRAMARE / PROGRAMMING -/- AI Algorithms Used in National Security Algoritmi IA utilizați în securitatea națională -/- SECURITATE CIBERNETICĂ / CYBER SECURITY -/- Cyber Security and Cyber Warfare Securitatea cibernetică și războiul cibernetic -/- Advanced Persistent Threats in Cyber Security Amenințările Persistente Avansate în securitatea cibernetică -/- ISSN 2821-8469 ISSN-L 2821-8469, DOI: 10.58679/IT15115. (shrink)

Upon Brexit & Trade War, the research took a supply-side analysis in macroeconomic paradigm for the purpose and cause of the actions. In the geopolitical competitions on crude oil resources between the allied powers & the Russian hegemony, the latter of which has effective control over P. R. China’s multilateral behaviors, the external research induced that trade war, either by complete information in intelligence or an unintended result, was a supply chain attack in prohibiting the antisatellite weapon supplies in the (...) Northern regions of mainland China in relation to Russia. Although no substantive change to international relations, the Trade War’s prohibitive effect on the high frequency trading in the monetary domain of CNY was observed, which had been the source of economic bubbles in the import-export control regime with centralized banking. The paper argues that by realism in economy & military strategy, trade war was ineffective in deterring the covert operations of the People’s Liberation Army by their territorial strategies and raises questions in humanitarianism in conflict situations. Moreover, with gross privacy breaches by mass surveillance in domain politics, totalitarianism with coercions, and counterfeit of drone strikes, traditional methods of threat elimination are rendered less pragmatic apart from the adversaries’ cyber security breaches. With the scientific approach, I offer an ecological paradigm with historic analysis of the Chinese military’s conducts in terms economics. The territorial methods of the PLA are contextualized into the ecological paradigm in regionalism & public administration. Electronic combats of the Chinese regime with the Great Firewall and Denial-of-Service attacks not only contribute to the diminishing natural freedoms of the population, but also transgress the fundamental right to health along with non-traditional nuclear threats to P.R.C. itself. (shrink)

This study investigates the adequacy of the current corporate governance frameworks by evaluating their efficiency relative to the context of crises. The Covid-19 pandemic is identified as the ideal case study on the merit that it has significant implications for corporate governance theory and practice. The study work from the premise that the current crisis situation necessitates a thorough evaluation of the readiness of the existing corporate governance regimes. While cognizant to the fact that the pandemic is still unfolding, this (...) thesis concedes that the current corporate governance frameworks are not necessarily inadequate to address the crisis situation, rather, they are still evolving to meet the challenge of the day. The thesis therefore suggests that certain areas of governance (including corporate purpose, the integration of digital technologies and cyber security systems, and heightened attention to environmental and social issues) should receive more attention in the future. The principal conclusion of this study is that there is a need to review corporate governance practices and policies in light of new emerging challenges. The study concludes with guidelines for corporate governance practices during times of crisis. (shrink)

This study investigates the adequacy of the current corporate governance frameworks by evaluating their efficiency relative to the context of crises. The Covid-19 pandemic is identified as the ideal case study on the merit that it has significant implications for corporate governance theory and practice. The study work from the premise that the current crisis situation necessitates a thorough evaluation of the readiness of the existing corporate governance regimes. While cognizant to the fact that the pandemic is still unfolding, this (...) thesis concedes that the current corporate governance frameworks are not necessarily inadequate to address the crisis situation, rather, they are still evolving to meet the challenge of the day. The thesis therefore suggests that certain areas of governance (including corporate purpose, the integration of digital technologies and cyber security systems, and heightened attention to environmental and social issues) should receive more attention in the future. The principal conclusion of this study is that there is a need to review corporate governance practices and policies in light of new emerging challenges. The study concludes with guidelines for corporate governance practices during times of crisis. (shrink)

The research identified the key element on P. R. China’s incentives in modern history on techtransfer practices. With reviewing on the state funding surrogacy in the natural sciences, the author identified the key militant coercive contracting clauses in the document of the National Natural Science Foundation of China. With its combined workings with the statutory & martial laws, the analysis takes a com- parative culture approach that partially counteracts the work of the “United Front Working Group of the CPC”, which (...) constitutes as the major cyber espionage organization that manifests upon the communication & information technologies. The “United Front”’s work has substabtially undermined the premices of market economy and eroded the markets’ self-organizing & self-regulating functionalities. With heterogenous semantic networks taken into consideration, the psychosociological elements were taken into consideration even with the psychological data codings in the semantic networks of P. R. China. (shrink)

Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this (...) inconvenience is making a need to computerize this system with high accuracy. Since constant observation of these surveillance cameras by humans is a near-impossible task. It requires workforces and their constant attention to judge if the captured activities are anomalous or suspicious. Hence, this drawback is creating a need to automate this process with high accuracy. Moreover, there is a need to display which frame and which parts of the recording contain the uncommon activity which helps the quicker judgment of that unordinary action being unusual or suspicious. Therefore, to reduce the wastage of time and labour, we are utilizing deep learning algorithms for Automating Threat Recognition System. Its goal is to automatically identify signs of aggression and violence in real-time, which filters out irregularities from normal patterns. We intend to utilize different Deep Learning models (CNN and RNN) to identify and classify levels of high movement in the frame. From there, we can raise a detection alert for the situation of a threat, indicating the suspicious activities at an instance of time and spray the smoke spray. (shrink)

For millennia self has been conjectured to be necessary for consciousness. But scant empirical evidence has been adduced to support this hypothesis. Inconsistent explications of “self” and failure to design apt experiments have impeded progress. Advocates of phenomenological psychiatry, however, have helped explicate “self,” and employed it to explain some psychopathological symptoms. In those studies, “self” is understood in a minimalist sense, sheer “for-me-ness.” Unfortunately, explication of the “minimal self” (MS) has relied on conceptual analysis, and applications to psychopathology have (...) been hermeneutic, allowing for many degrees of interpretive latitude. The result is that MS’s current scientific status is analogous to that of the “atom,” at the time when “atom” was just beginning to undergo transformation from a philosophical to a scientific concept. Fortunately, there is now an opportunity to promote a similar transformation for “MS.” Discovery of the brain’s Default Mode Network (DMN) opened the door to neuroimaging investigations of self. Taking the DMN and other forms of intrinsic activity as a starting point, an empirical foothold can be established, one that spurs experimental research and that enables extension of research into multiple phenomena. New experimental protocols that posit “MS” can help explain phenomena hitherto not thought to be related to self, thereby hastening development of a mature science of self. In particular, targeting phenomena wherein consciousness is lost and recovered, as in some cases of Unresponsive Wakefulness Syndrome (UWS), allow for design of neuroimaging probes that enable detection of MS during non-conscious states. These probes, as well as other experimental protocols applied to NREM Sleep, General Anesthesia (GA), and the waking state, provide some evidence to suggest that not only can self and consciousness dissociate, MS might be a necessary precondition for conscious experience. Finally, these findings have implications for the science of consciousness: it has been suggested that “levels of consciousness” (LoC) is not a legitimate concept for the science of consciousness. But because we have the conceptual and methodological tools with which to refine investigations of MS, we have the means to identify a possible foundation—a bifurcation point—for consciousness, as well as the means by which to measure degrees of distance from that foundation. These neuroimaging investigations of MS position us to better assess whether LoC has a role to play in a mature science of consciousness. (shrink)