AI-Driven Security
Navigating Threats and Defenses in a New Era
$201.24
- Hardcover
224 pages
- Release Date
30 November 2026
Summary
Leverage AI for adaptive cyber defense against evolving threats
Artificial intelligence simultaneously strengthens cyber defenses and introduces new attack vectors such as adversarial exploits and AI-driven malware. AI-Driven Security: Navigating Threats and Defenses in a New Era, written by two cybersecurity researchers specializing in digital authentication and information assurance, examines this dual role by integrating machine learning, deep learning, an…
Book Details
| ISBN-13: | 9781394371211 |
|---|---|
| ISBN-10: | 1394371217 |
| Author: | Muhammad Khurram Khan, Ali Abdullah S. AlQahtani |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-IEEE Press |
| Format: | Hardcover |
| Number of Pages: | 224 |
| Release Date: | 30 November 2026 |
Muhammad Khurram Khan
Ali Abdullah S. AlQahtani, PhD, is an Assistant Professor of Software Engineering (Cybersecurity Track) and Founding Director of the Defense Research Lab at Prince Sultan University. He previously served as an Assistant Professor and Founding Director of CyberNex at North Carolina A&T State University, where he taught and supervised graduate and doctoral students. He also held faculty roles in Computer Science and Cybersecurity at the University of Wisconsin. His research advances cybersecurity with innovative zero-effort digital authentication, threat identification, and security analysis. He further explores IoT, AI, and ML applications. To date, he has secured $6,755,833.33 in funded grants as a Principal Investigator.
Muhammad Khurram Khan, PhD, is a global thought leader and influencer in cybersecurity. He is a Professor of Cybersecurity at the Center of Excellence in Information Assurance, King Saud University, Saudi Arabia. He is the founder and CEO of the ”Global Foundation for Cyber Studies and Research”, an independent and non-partisan cybersecurity think-tank in Washington, D.C., USA. He is the Editor-in-Chief of ‘Telecommunication Systems’, published by Springer-Nature. He has published over 500 research papers and is an inventor of 12 US patents. His research areas of interest are cybersecurity, AI Security, IoT security, vehicular cybersecurity, digital authentication, and cyber policy.
Mohamed Hammad, PhD, is an Associate Professor at Menoufia University, Egypt, and a Researcher at Prince Sultan University, Saudi Arabia. He earned his Ph.D. in Computer Science from Harbin Institute of Technology, China. His research focuses on pattern recognition, AI, machine learning, and cybersecurity. Dr. Hammad has published over 50 SCI-indexed papers, edited five books, and serves on editorial boards for journals such as BMC Bioinformatics. He is a top 2% cited scientist (Stanford University, 2022-2025) and an ACM Professional Member.
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