Advances In Cybersecurity Management

This book concentrates on a wide range of advances related to IT cybersecurity management. The topics covered in this book include, among others, management techniques in security, IT risk management, the impact of technologies and techniques on security management, regulatory techniques and issues, surveillance technologies, security policies, security for protocol management, location management, GOS management, resource management, channel management, and mobility management. The authors also discuss digital contents copyright protection, system security management, network security management, security management in network equipment, storage area networks (SAN) management, information security management, government security policy, web penetration testing, security operations, and vulnerabilities management. The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity management specialists and educators for keeping current their cybersecurity management knowledge. Further, they provide a glimpse of future directions where cybersecurity management techniques, policies, applications, and theories are headed. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse cybersecurity management experts in the listed fields and edited by prominent cybersecurity management researchers and specialists.

Cyberthreats are among the most critical issues facing the world today. Cybersecurity Management draws on case studies to analyze cybercrime at the macro level, and evaluates the strategic and organizational issues connected to cybersecurity. Cross-disciplinary in its focus, orientation, and scope, this book looks at emerging communication technologies that are currently under development to tackle emerging threats to data privacy. Cybersecurity Management provides insights into the nature and extent of cyberthreats to organizations and consumers, and how such threats evolve with new technological advances and are affected by cultural, organizational, and macro‐environmental factors. Cybersecurity Management articulates the effects of new and evolving information, communication technologies, and systems on cybersecurity and privacy issues. As the COVID-19 pandemic has revealed, we are all dependent on the Internet as a source for not only information but also person-to-person connection, thus our chances of encountering cyberthreats is higher than ever. Cybersecurity Management aims to increase the awareness of and preparedness to handle such threats among policy-makers, planners, and the public.

This book uncovers the idea of understanding cybersecurity management in FinTech. It commences with introducing fundamentals of FinTech and cybersecurity to readers. It emphasizes on the importance of cybersecurity for financial institutions by illustrating recent cyber breaches, attacks, and financial losses. The book delves into understanding cyber threats and adversaries who can exploit those threats. It advances with cybersecurity threat, vulnerability, and risk management in FinTech. The book helps readers understand cyber threat landscape comprising different threat categories that can exploit different types of vulnerabilties identified in FinTech. It puts forward prominent threat modelling strategies by focusing on attackers, assets, and software and addresses the challenges in managing cyber risks in FinTech. The authors discuss detailed cybersecurity policies and strategies that can be used to secure financial institutions and provide recommendations to secure financial institutions from cyber-attacks.

Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives. Ongoing cyberattacks, hacks, data breaches, and privacy concerns demonstrate vividly the inadequacy of existing methods of cybersecurity and the need to develop new and better ones. This book brings together experts from across MIT to explore recent advances in cybersecurity from management, technical, and sociological perspectives. Leading researchers from MIT's Computer Science & Artificial Intelligence Lab, the MIT Media Lab, MIT Sloan School of Management, and MIT Lincoln Lab, along with their counterparts at Draper Lab, the University of Cambridge, and SRI, discuss such varied topics as a systems perspective on managing risk, the development of inherently secure hardware, and the Dark Web. The contributors suggest approaches that range from the market-driven to the theoretical, describe problems that arise in a decentralized, IoT world, and reimagine what optimal systems architecture and effective management might look like. Contributors YNadav Aharon, Yaniv Altshuler, Manuel Cebrian, Nazli Choucri, André DeHon, Ryan Ellis, Yuval Elovici, Harry Halpin, Thomas Hardjono, James Houghton, Keman Huang, Mohammad S. Jalali, Priscilla Koepke, Yang Lee, Stuart Madnick, Simon W. Moore, Katie Moussouris, Peter G. Neumann, Hamed Okhravi, Jothy Rosenberg, Hamid Salim,Michael Siegel, Diane Strong, Gregory T. Sullivan, Richard Wang, Robert N. M. Watson, Guy Zyskind An MIT Connection Science and Engineering Book

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

This book explores the intersection of cybersecurity and education technologies, providing practical solutions, detection techniques, and mitigation strategies to ensure a secure and protected learning environment in the face of evolving cyber threats. With a wide range of contributors covering topics from immersive learning to phishing detection, this book is a valuable resource for professionals, researchers, educators, students, and policymakers interested in the future of cybersecurity in education. Features: • Offers both theoretical foundations and practical guidance for fostering a secure and protected environment for educational advancements in the digital age. • Addresses the need for cybersecurity in education in the context of worldwide changes in education sources and advancements in technology. • Highlights the significance of integrating cybersecurity into educational practices and protecting sensitive information to ensure students’ performance prediction systems are not misused. • Covers a wide range of topics including immersive learning, cybersecurity education, and malware detection, making it a valuable resource for professionals, researchers, educators, students, and policymakers.

Cyber Security Management: A Governance, Risk and Compliance Framework by Peter Trim and Yang-Im Lee has been written for a wide audience. Derived from research, it places security management in a holistic context and outlines how the strategic marketing approach can be used to underpin cyber security in partnership arrangements. The book is unique because it integrates material that is of a highly specialized nature but which can be interpreted by those with a non-specialist background in the area. Indeed, those with a limited knowledge of cyber security will be able to develop a comprehensive understanding of the subject and will be guided into devising and implementing relevant policy, systems and procedures that make the organization better able to withstand the increasingly sophisticated forms of cyber attack. The book includes a sequence-of-events model; an organizational governance framework; a business continuity management planning framework; a multi-cultural communication model; a cyber security management model and strategic management framework; an integrated governance mechanism; an integrated resilience management model; an integrated management model and system; a communication risk management strategy; and recommendations for counteracting a range of cyber threats. Cyber Security Management: A Governance, Risk and Compliance Framework simplifies complex material and provides a multi-disciplinary perspective and an explanation and interpretation of how managers can manage cyber threats in a pro-active manner and work towards counteracting cyber threats both now and in the future.

We live in a digital world, where we use digital tools and smart devices to communicate over the Internet. In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data. Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers. Therefore, we need modern systems capable of handling and managing data efficiently. In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms. Some well-known emerging computing paradigms include cloud computing, fog computing, and edge computing, which have leveraged the increase in the volume of data being generated every second. However, the distributed computing paradigms face critical challenges, including network management and cyber security. We have witnessed the development of various networking models—IoT, SDN, and ICN—to support modern systems requirements. However, they are undergoing rapid changes and need special attention. The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges. Therefore, there is a significant need to develop improved network management and cyber security solutions. To this end, this book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.