Big Data Analytics and Computational Intelligence for Cybersecurity

Drawing together recent work in artificial intelligence and big data analytics, this volume explores how these tools can strengthen cybersecurity intelligence. Its focus is on AI and machine learning approaches to defending against malware, software vulnerabilities and wider cyber threats, including countermeasures designed to act before attacks take place.

The chapters also turn to emerging technologies such as blockchain, software-defined networking (SDN) and the Internet of Things (IoT), considering how each may influence security. A recurring theme is the convergence of machine learning and big data within cybersecurity. Readers get an overview of theoretical foundations, practical methods and simulation-based concepts in computational intelligence and big data analytics as applied to security.

The book also presents techniques for analyzing complex patterns in user data, with the aim of supporting better productivity. It is aimed at researchers, students and practitioners working in artificial intelligence, cybersecurity, data analytics and recent developments in networks.