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Artificial Intelligence for Intrusion Detection Systems

dc.contributor.authorSwarnkar M.; Rajput S.S.
dc.date.accessioned2025-05-23T11:17:38Z
dc.description.abstractThis 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 IDS • Proper explanation of novel cyber attacks which are much different from classical cyber attacks • Proper and in-depth discussion of AI in the field of cybersecurity • Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations • Covers 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. © 2024 selection and editorial matter, Mayank Swarnkar and Shyam Singh Rajput; individual chapters, the contributors.
dc.identifier.doihttps://doi.org/10.1201/9781003346340
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/7642
dc.relation.ispartofseriesArtificial Intelligence for Intrusion Detection Systems
dc.titleArtificial Intelligence for Intrusion Detection Systems

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