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 Info | Hoboken, New Jersey : John Wiley & Sons, Inc, [2026] |
| Description | pages cm |
| Supplemental Content | Full 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 note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2026003321 |
| ISBN | 9781394293742 Hardback |
| ISBN | ePDF |
| ISBN | epub |
| ISBN | oBook |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |