Guide to Computer Network Security

This textbook presents a comprehensive guide to the core topics in computing and information security and assurance realms, going beyond the security of networks to the ubiquitous mobile communications and online social networks that have become part of daily life.In the context of growing human dependence on a digital ecosystem, this book stresses the importance of security awareness-whether in homes, businesses, or public spaces. It also embraces the new and more agile and artificial-intelligence-boosted computing systems models, online social networks, and virtual platforms that are interweaving and fueling growth of an ecosystem of intelligent digital and associated social networks. This fully updated edition features new material on new and developing artificial intelligence models across all computing security systems spheres, blockchain technology, and the metaverse, leading toward security systems virtualizations.Topics and features:Explores the full range of security risks and vulnerabilities in all connected digital systemPresents exercises of varying levels of difficulty at the end of each chapter, and concludes with a diverse selection of practical projectsDescribes the fundamentals of traditional computer network security, and common threats to securityDiscusses the role and challenges of artificial intelligence in advancing the security of computing systems' algorithms, protocols, and best practicesRaises thought-provoking questions regarding legislative, legal, social, technical, and ethical challenges, such as the tension between privacy and securityReviews the current landscape of tools, algorithms, and professional best practices in use to maintain security of digital systemsDiscusses the security issues introduced by the latest generation of network technologies, including mobile systems, cloud computing, and blockchainOffers supplementary material for students and instructors at an associated website, including slides, additional projects, and syllabus suggestionsThis important textbook/reference is an invaluable resource for students of computer science, engineering, and information management, as well as for practitioners working in data- and information-intensive industries.