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Author:   Faheem Syeed Masoodi (University of Kashmir, India) ,  Alwi Bamhdi (Umm ul Qura University, Saudi Arabia)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 16.00cm , Height: 2.50cm , Length: 23.10cm
Weight:   0.567kg
ISBN:  

9781394285167

ISBN 10:   1394285167
Pages:   336
Publication Date:   18 December 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

List of Contributors xvii 1 Intrusion Detection in the Age of Deep Learning: An Introduction 1 2 Machine Learning for Intrusion Detection 25 3 Deep Learning Fundamentals-I 59 4 Deep Learning Fundamentals-II 91 5 Intrusion Detection Through Deep Learning: Emerging Trends and Challenges 107 6 Dataset for Evaluating Deep Learning-Based Intrusion Detection 125 7 Deep Learning Features: Techniques for Extraction and Selection 147 8 Exploring Advanced Artificial Intelligence for Anomaly Detection 167 9 Enhancing Security in Smart Environments Using Deep Learning: A Comprehensive Approach 185 10 Deep Learning-Based Intrusion Detection in Wireless Networks 209 11 Deep Learning-Based Intrusion Detection in Wireless Networks 233 12 Securing IoT Environments: Deep Learning-Based Intrusion Detection 251 13 A Deep Learning Approach for the Detection of Zero-day Attacks 267 Index 285

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Author Information

FAHEEM SYEED MASOODI, PHD, is an Associate Professor of Cybersecurity at Bahrain Polytechnic University. He previously served at the University of Kashmir and the Jazan University in Saudi Arabia. He holds a PhD in Network Security and Cryptography and has published extensively in cryptography, intrusion detection, post-quantum cryptography, financial security, and IoT. His contributions include several books, high-impact papers, and fellowships from France, Brazil, India, and Malaysia. ALWI BAMHDI, PHD, is an Associate Professor in the Computer Sciences Department at Umm ul Qura University, Saudi Arabia. His research interests include mobile ad hoc networks, wireless sensor networks, and information security.

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