As cyberattacks continue to grow in complexity and number,Computational Intelligence is helping under-resourced security analystsstay one step ahead of threats. Drawing on threat intelligence frommillions of studies, blogs, and news articles, ComputationalIntelligence techniques such as Machine Learning and automatic naturallanguage processing (NLP) quickly provide the means to identify realthreats and dramatically reduce response times.ComputationalIntelligence for Cybersecurity Management and Applications collects andreports on recent high-quality research addressing differentcybersecurity challenges. It:Explore the newest developments in the use of computational intelligence and AI for cybersecurity applications;Provideseveral case studies related to computational intelligence techniquesfor cybersecurity in a wide range of applications (Smart Healthcare,Blockchain, Cyber-Physical System, etc.);Integrate theoreticaland practical aspects of computational intelligence for cybersecurity sothat any reader, from novice to expert, may understand the book'sexplanations of key topics.The book offers comprehensive coverage of the essential topics, including:Machine Learning and Deep Learning for cybersecurityBlockchain for cybersecurity and privacySecurity engineering for Cyber-physical systemsAI and Data Analytics techniques for cybersecurity in smart systemsTrust in digital systemsComputationalIntelligence for Cybersecurity Management and Applications comprisesmany state-of-the-art contributions from scientists and practitionersworking in cybersecurity. The book’s goal is to serve as a reliableresource for students, researchers, engineers, and professionals in thefield, as well as anyone interested in learning about the manydimensions of cybersecurity and the cutting-edge developments inartificial intelligence for cyber threat management. This book contains11 chapters divided into three sections.