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With the continued progression of technologies such as mobile computing and the internet of things (IoT), cybersecurity has swiftly risen to a prominent field of global interest. This has led to cyberattacks and cybercrime becoming much more sophisticated to a point where cybersecurity can no longer be the exclusive responsibility of an organization’s information technology (IT) unit. Cyber warfare is becoming a national issue and causing various governments to reevaluate the current defense strategies they have in place. Cyber Security Auditing, Assurance, and Awareness Through CSAM and CATRAM provides emerging research exploring the practical aspects of reassessing current cybersecurity measures within organizations and international governments and improving upon them using audit and awareness training models, specifically the Cybersecurity Audit Model (CSAM) and the Cybersecurity Awareness Training Model (CATRAM). The book presents multi-case studies on the development and validation of these models and frameworks and analyzes their implementation and ability to sustain and audit national cybersecurity strategies. Featuring coverage on a broad range of topics such as forensic analysis, digital evidence, and incident management, this book is ideally designed for researchers, developers, policymakers, government officials, strategists, security professionals, educators, security analysts, auditors, and students seeking current research on developing training models within cybersecurity management and awareness.
Cybersecurity is vital for all businesses, regardless of sector. With constant threats and potential online dangers, businesses must remain aware of the current research and information available to them in order to protect themselves and their employees. Maintaining tight cybersecurity can be difficult for businesses as there are so many moving parts to contend with, but remaining vigilant and having protective measures and training in place is essential for a successful company. The Research Anthology on Business Aspects of Cybersecurity considers all emerging aspects of cybersecurity in the business sector including frameworks, models, best practices, and emerging areas of interest. This comprehensive reference source is split into three sections with the first discussing audits and risk assessments that businesses can conduct to ensure the security of their systems. The second section covers training and awareness initiatives for staff that promotes a security culture. The final section discusses software and systems that can be used to secure and manage cybersecurity threats. Covering topics such as audit models, security behavior, and insider threats, it is ideal for businesses, business professionals, managers, security analysts, IT specialists, executives, academicians, researchers, computer engineers, graduate students, and practitioners.
Modern society has become dependent on technology, allowing personal information to be input and used across a variety of personal and professional systems. From banking to medical records to e-commerce, sensitive data has never before been at such a high risk of misuse. As such, organizations now have a greater responsibility than ever to ensure that their stakeholder data is secured, leading to the increased need for cybersecurity specialists and the development of more secure software and systems. To avoid issues such as hacking and create a safer online space, cybersecurity education is vital and not only for those seeking to make a career out of cybersecurity, but also for the general public who must become more aware of the information they are sharing and how they are using it. It is crucial people learn about cybersecurity in a comprehensive and accessible way in order to use the skills to better protect all data. The Research Anthology on Advancements in Cybersecurity Education discusses innovative concepts, theories, and developments for not only teaching cybersecurity, but also for driving awareness of efforts that can be achieved to further secure sensitive data. Providing information on a range of topics from cybersecurity education requirements, cyberspace security talents training systems, and insider threats, it is ideal for educators, IT developers, education professionals, education administrators, researchers, security analysts, systems engineers, software security engineers, security professionals, policymakers, and students.
World politics as a scientific discipline was established during the second half of the 20th century and has gained rapid distribution in many countries. This field of study focuses attention on current political processes as well as the potential of further development. It is essential to analyze world politics to move progress forward while also strengthening international security and the creation of a safer civilization. World politics cannot be understood without the combined knowledge of history, economics, law, social sciences, and psychology. World Politics and the Challenges for International Security describes the global processes in the field of world politics and international security and discusses global problems, global security, and the threats and challenges that currently affect global society. Covering topics such as digital diplomacy, political corruption, and terrorist psychology, this book is essential for political scientists, researchers, policymakers, global leaders, national security officers, diplomats, professors and students of higher education, and academicians.
Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.
The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.
Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.
Multidisciplinary research is steadily revolutionizing traditional education, scientific approaches, and activities related to security matters. Therefore, the knowledge generated through multidisciplinary research into the field of application of scientific inquiry could be utilized to protect critical and vital assets of a country. The field of security requires focus on the assessment and resolution of complex systems. Consequently, the dynamics of the intelligence field leads to the necessity of raising awareness and placing priority on improved ideas using scientific inquiry. Intelligence and Law Enforcement in the 21st Century provides personnel directly working in the fields of intelligence and law enforcement with an opportunity to deeply delve into to the challenges, choices, and complications in finding, applying, and presenting the gathered intelligence through various methods and then presenting them through available policies and procedures in the arena of law and order. The book also addresses how law enforcement is critically assessed in the 21st century when implementing the rule of law and order. Covering topics such as counterterrorism, cybersecurity, biological and chemical weapons, and scientific inquiry, this is an essential text for law enforcement, intelligence specialists, analysts, cybersecurity professionals, government officials, students, teachers, professors, practitioners, and researchers in fields that include terrorism and national security.
Within modern forensic science and criminal investigation, experts face several challenges including managing huge amounts of data, handling miniscule pieces of evidence in a chaotic and complex environment, navigating traditional laboratory structures, and, sometimes, dealing with insufficient knowledge. These challenges must be overcome to avoid failure in investigation or miscarriage of justice. Technologies to Advance Automation in Forensic Science and Criminal Investigation provides a platform for researchers to present state-of-the-art technologies within forensic science and criminal investigation. Covering topics such as financial fraud, machine learning, and source camera identification, this book is an essential reference for criminal investigators, justice departments, law enforcement, legislators, computer scientists, automation professionals, researchers, academicians, and students and educators in higher education.
Media plays a specific role within modern society. It has been and continues to be a tool for spreading terrorist messages. However, it can just as easily be used as a tool for countering terrorism. During these challenging times where both international and domestic terrorism continue to threaten the livelihoods of citizens, it is imperative that studies are undertaken to examine the media’s role in the spread of terrorism, as well as to explore strategies and protocols that can be put in place to mitigate the spread. Media and Terrorism in the 21st Century presents the emerging ideas and insights from experts, academicians, and professionals on the role media and new media plays in terrorist propaganda from a critical international perspective. It examines the historical relation between media and terror and analyzes the difficulties and obstacles presented by the relation in the 21st century. Covering topics such as AI-based dataveillance, media development trends, and virtual terrorism, this book is an indispensable resource for government officials, communications experts, politicians, security professionals, sociologists, students and educators of higher education, researchers, and academicians.