Artificial intelligence for intrusion detection systems / editor, Mayank Swarnkar, Shyam Singh Rajput.

Other author Swarnkar, Mayank.
Other author Rajput, Shyam Singh.
Format Electronic
Publication InfoBoca Raton, FL : CRC Press, 2024.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Contents Intrusion detection system using artificial intelligence / Galiveeti Poornima, Deepak S Sakkari, Pallavi R, Sudha Y, Sukruth Gowda M -- Robust, Efficient and Interpretable Adversarial AI Models for Intrusion Detection in Virtualization -- Environment / Arjun Singh, Avantika Gaur, Gaurav Kothari, Yutika Agarwal, Tejaswi, Preeti Mishra, Senthil Kumar Jagthessaperumal -- Detection of Malicious Activities by Smart Signature-based IDS / Ramya Chinnasamy, Malliga Subramanian -- Detection of malicious activities by AI-supported anomaly based IDS / Akshaya Suresh and Dr. Arun Cyril Jose -- An artificial intelligent enabled framework for malware detection / Mahendra Pratap Singh, Hrithik Bhat, Somesh Kartikeya, Shuddhatm Choudhary -- IDS For internet of things (IoT) and industrial IoT network / Rashi Makwana -- An Improved NIDS using RF based feature selection technique and voting classifier / Pankaj Kumar Keserwania, Mridul Mittalb, Mahesh Chandra Govilc -- Enhanced AI based intrusion detection and response system for WSN / Dr. Kathirvel A, Dr. Maheswaran C. P. -- Methodology for Programming of AI-based IDS / Dr. Parkavi Ka, Jeyavim Sherin R C.
Abstract "This book is aligned with the cyber security issues and provides a wide view of the novel cyber-attacks and the defence mechanisms, especially AI-based IDS. This book serves as a reference book for scientific investigators who need to analyse Intrusion Detection Systems (IDS), as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate-level course in information security"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023018206
ISBN9781032386652 (hardback)
ISBN9781032386966 (paperback)
ISBN(ebook)

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