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EbookBell Team
5.0
30 reviewsAs 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 (NLP) quickly provide the means to identify real threats and dramatically reduce response times.
Computational Intelligence for Cybersecurity Management and Applications collects and reports on recent high-quality research addressing different cybersecurity challenges. It:
Explore the newest developments in the use of computational intelligence and AI for cybersecurity applications;
Provide several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (Smart Healthcare, Blockchain, Cyber-Physical System, etc.);
Integrate 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.
The book 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
Computational Intelligence for Cybersecurity Management and Applications comprises many state-of-the-art contributions from scientists and practitioners working in cybersecurity. The book’s goal is to serve as a reliable resource for students, researchers, engineers, and professionals in the field, as well as anyone interested in learning about the many dimensions of cybersecurity and the cutting-edge developments in artificial intelligence for cyber threat management. This book contains 11 chapters divided into three sections.
