AI for cybersecurity research and practice / [edited by] Houbing Song, University of Maryland, Dr. Elisa Bertino, Purdue University, Dr. Alvaro Vasquez, Dr. Huihui Helen Wang, National Science Foundation, Dr. Yan Shoshitaishvili, Arizona State University, Dr. Sumit Kumar Jha, Florida International University.

Other author Song, Houbing
Format Electronic
Publication InfoHoboken, New Jersey : John Wiley & Sons, Inc, [2026]
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Abstract "AI for Cybersecurity: Research and Practice addresses the growing need for advanced cybersecurity capabilities-deter, protect, detect, and respond-by examining the role of Artificial Intelligence. The book combines cutting-edge research on LLMs, generative AI, privacy-preserving methods, and AI-driven intrusion, threat, and privacy-leakage detection with practical insights into real-world applications such as DDoS and malware defense, supply-chain vulnerability mitigation, and the ethical, educational, smart-grid, and geopolitical dimensions of AI in security. It serves both researchers and practitioners seeking to advance the use of AI technologies to achieve a more secure cyberspace"-- 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 2026003321
ISBN9781394293742 Hardback
ISBNePDF
ISBNepub
ISBNoBook

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available