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Author:   Farhan Ullah (Associate Research Professor, Prince Mohammad Bin Fahd University, Cybersecurity Center, Saudi Arabia) ,  Gautam Srivastava (Full Professor, Brandon University, Department of Mathematics and Computer Science, Canada) ,  Awais Ahmad (Assistant Professor, Imam Mohammad Ibn Saud Islamic University (IMSIU), Information Systems Department, College of Computer and Information Sciences, Riyadh, Kingdom of Saudi Arabia)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781837240319

ISBN 10:   1837240310
Pages:   250
Publication Date:   01 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

Chapter 1: The Present, Past, and Future Aspects of XAI in Cybersecurity Chapter 2: Bridging the Gap: Explainable AI in Threat Detection and Cybersecurity Chapter 3: Explainable Artificial Intelligence in Threat Detection Chapter 4: XAI enabled Blockchain for Cybersecurity Chapter 5: A Hybrid Cybersecurity Approach: Leveraging ZTA, AI, XAI, and Blockchain to Combat Emerging Threats Chapter 6: Deep Reinforcement Learning for Cybersecurity Chapter 7: Trustworthy Explainable Artificial Intelligence for Resilient Cybersecurity Applications Chapter 8: Malware Analysis in IoT Devices and AI Chapter 9: A multimodal framework for intrusion detection in IoT: integrating transfer learning, game theory, and Nash equilibrium Chapter 10: Cyber Security for Internet of Things: Big Data Optimization for IoT-Based Real-Time Network Traffic Analysis Chapter 11: Advancing VANET Resilience: Integrating Ensemble Learning with Large Language Models to Combat Fake Report Attacks Chapter 12: Cybersecurity-enabled Federated Learning Approach for Digital Healthcare Chapter 13: IoT Guardian: Explainable Deep Ensemble Learning for Reliable Security in Internet of Medical Things Chapter 14: Intelligence for Next Generation: Social and Ethical Challenges Chapter 15: The Ethics of Artificial Intelligence: Issues and Prospects for Future Generations

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Author Information

Farhan Ullah is an associate research professor at the Cybersecurity Center of Prince Mohammad Bin Fahd University, Saudi Arabia. His areas of research interest include malware analysis, data science, AI and cybersecurity. He works as an editorial board member for several SCIE journals including KSII Transactions on Internet and Information Systems, Electronics, CMC Computers, Materials & Continua, and CSSE Computer Systems Science and Engineering. He has published 58 papers in peer reviewed journals. Gautam Srivastava is a full professor in the Department of Mathematics and Computer Science at Brandon University, Canada. He is active in the research fields of AI, cybersecurity, data mining, and big data. He has extensive Guest Editorial Experience including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics, Computer Standards and Interfaces and Applied Stochastic Modeling and Business. He has published 400 papers in high-impact conferences and journals. Awais Ahmad is an assistant professor in the Department of Information Systems, College of Computer and Information Sciences at Imam Muhammad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia. His research interests include cybersecurity, deep learning, machine learning, artificial intelligence, denoising and demosaicking, big data analytics, and internet of things. He has published 170+ International papers in journals including IEEE Transactions, IEEE Magazines and ACM Transactions.

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