Artificial Intelligence for Intrusion Detection Systems

The book discusses how cutting-edge artificial intelligence and machine learning techniques can be used for and against cybersecurity efforts, offering a comprehensive introduction to computer security, artificial intelligence, and machine learning. It covers intrusion detection techniques, algorithms, and architecture, with case studies and industrial examples.

Format: Hardback
Length: 204 pages
Publication date: 16 October 2023
Publisher: Taylor & Francis Ltd

The book serves as a crucial bridge between cybersecurity education and emerging data science programs, delving into the intricate interplay between cutting-edge artificial intelligence and machine learning techniques and their impact on cybersecurity efforts. It provides a comprehensive and accessible introduction to computer security, artificial intelligence, and machine learning, covering essential concepts such as threats, vulnerabilities, risks, attacks, protection, and tools. The book offers a thorough exploration of various intrusion detection techniques, encompassing both traditional and advanced methods, along with detailed explanations of various intrusion detection algorithms and architectures. It incorporates a wealth of case studies and real-world industrial examples to reinforce the theoretical concepts and enhance the reader's understanding of the practical applications of intrusion detection and prevention techniques. Furthermore, the book highlights the challenges and issues associated with implementing these techniques, emphasizing the need for a multidisciplinary approach and ongoing research to stay ahead of evolving threats in the digital landscape. By providing a comprehensive and up-to-date resource, this book empowers professionals and students alike to develop the skills and knowledge required to effectively protect against cyber threats and contribute to the field of cybersecurity.

The book serves as a crucial bridge between cybersecurity education and emerging data science programs, delving into the intricate interplay between cutting-edge artificial intelligence and machine learning techniques and their impact on cybersecurity efforts.

It provides a comprehensive and accessible introduction to computer security, artificial intelligence, and machine learning, covering essential concepts such as threats, vulnerabilities, risks, attacks, protection, and tools.

The book offers a thorough exploration of various intrusion detection techniques, encompassing both traditional and advanced methods, along with detailed explanations of various intrusion detection algorithms and architectures.

It incorporates a wealth of case studies and real-world industrial examples to reinforce the theoretical concepts and enhance the reader's understanding of the practical applications of intrusion detection and prevention techniques.

Furthermore, the book highlights the challenges and issues associated with implementing these techniques, emphasizing the need for a multidisciplinary approach and ongoing research to stay ahead of evolving threats in the digital landscape.

By providing a comprehensive and up-to-date resource, this book empowers professionals and students alike to develop the skills and knowledge required to effectively protect against cyber threats and contribute to the field of cybersecurity.

Weight: 560g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032386652