Mayank Swarnkar - Böcker

This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS).Features:A systematic overview of the state-of-the-art IDSProper explanation of novel cyber attacks which are much different from classical cyber attacksProper and in-depth discussion of AI in the field of cybersecurityIntroduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementationsCovers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks.This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security.

This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS).Features:A systematic overview of the state-of-the-art IDSProper explanation of novel cyber attacks which are much different from classical cyber attacksProper and in-depth discussion of AI in the field of cybersecurityIntroduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementationsCovers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks.This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security.

Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms.