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Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense
Author(s): Hewa Majeed Zangana (Author)
- Publisher: Wiley-IEEE Press
- Publication Date: July 14, 2026
- Edition: 1st
- Language: English
- Print length: 560 pages
- ISBN-10: 1394426232
- ISBN-13: 9781394426232
Book Description
Autonomous, predictive, and self-healing cybersecurity systems powered by AI
Traditional cybersecurity approaches can no longer keep pace with zero-day exploits, ransomware, insider threats, and adversarial AI attacks. Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense introduces a transformative paradigm that leverages artificial intelligence, machine learning, and big data to build autonomous, predictive, and self-healing security systems.
The book presents a unified Cybersecurity 5.0 framework that integrates AI-driven analytics, blockchain technologies, and quantum-resistant cryptography within the context of Industry 5.0 and rapidly expanding IoT ecosystems. It demonstrates how intelligent systems can anticipate, detect, and mitigate threats across enterprise, government, and academic environments.
The book also covers:
- Ethical, sustainable, and socially responsible approaches to deploying cybersecurity technologies within organizations and broader society
- Practical strategies for constructing resilient, self-healing systems that autonomously detect and neutralize threats before damage occurs
- AI and machine learning techniques applied to predicting zero-day exploits, ransomware campaigns, and adversarial AI-driven attacks
Cybersecurity 5.0 serves practitioners, researchers, IT managers, and graduate students who need to move beyond conventional defense measures. By connecting AI, blockchain, IoT security, and quantum-resistant strategies within a unified Cybersecurity 5.0 paradigm, this book equips readers to architect proactive, adaptive cyber defense systems.
Editorial Reviews
Editorial Reviews
From the Back Cover
Autonomous, predictive, and self-healing cybersecurity systems powered by AI
Traditional cybersecurity approaches can no longer keep pace with zero-day exploits, ransomware, insider threats, and adversarial AI attacks. Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense introduces a transformative paradigm that leverages artificial intelligence, machine learning, and big data to build autonomous, predictive, and self-healing security systems.
The book presents a unified Cybersecurity 5.0 framework that integrates AI-driven analytics, blockchain technologies, and quantum-resistant cryptography within the context of Industry 5.0 and rapidly expanding IoT ecosystems. It demonstrates how intelligent systems can anticipate, detect, and mitigate threats across enterprise, government, and academic environments.
The book also covers:
- Ethical, sustainable, and socially responsible approaches to deploying cybersecurity technologies within organizations and broader society
- Practical strategies for constructing resilient, self-healing systems that autonomously detect and neutralize threats before damage occurs
- AI and machine learning techniques applied to predicting zero-day exploits, ransomware campaigns, and adversarial AI-driven attacks
Cybersecurity 5.0 serves practitioners, researchers, IT managers, and graduate students who need to move beyond conventional defense measures. By connecting AI, blockchain, IoT security, and quantum-resistant strategies within a unified Cybersecurity 5.0 paradigm, this book equips readers to architect proactive, adaptive cyber defense systems.
About the Author
Hewa Majeed Zangana, PhD,is an Assistant Professor at Duhok Polytechnic University, Iraq. He has held several academic and leadership positions including Acting Dean, Head of the Computer Science Department, and Director of the Curriculum Division at DPU. His research focuses on cybersecurity, intelligent systems, and AI-driven security solutions. He is also the editor of the forthcoming Defense in Depth: Modern Cybersecurity Strategies and Evolving Threats.
