The main goal of this book is to explore the multifaceted dimensions of integrating
Artificial Intelligence into the realms of Cyber security and Industry 4.0. The book aims to foster
discussions among academia, researchers, professionals, and industries regarding these domains.
It will delve into the fundamental role of Artificial Intelligence in Cyber security, encompassing
transparency, scalability, integrity, and security. Additionally, the book will emphasize cutting-
edge subjects in AI-driven Cyber security research and development, reflecting the evolving
landscape of technology and security.
Part 1. Artificial Intelligence and Cyber Security: Challenges and Frameworks
Chapter 1. AI for cyber security and cyber security for AI: complementary role
Chapter 2. Malicious usage of AI: expansion of existing threats and novel threats
Chapter 3. Classification of data anonymization techniques
Chapter 4. Software design for efficient privacy preserving in big data
Chapter 5. Machine learning based intrusion detection system
Part 2. Artificial Intelligence and Cyber Security: Possible Use Cases
Chapter 6. Border surveillance: Prominent usage scenarios
Chapter 7. Cyber security attacks and Internet of Things: Role of artificial intelligence
Chapter 8. A novel methodology for anonymization of structured health data
Chapter 9. Data integrity and privacy in cloud platforms: An investigation
Chapter 10. Weapon autonomy: Prominent AI techniques
Chapter 11. Border migration: Role of AI
Part 3. Artificial Intelligence and Cyber Security: Smart Cities Ecosystem
Chapter 12. Introduction to QML algorithms
Chapter 13. Smart health care system: Automated methods for disease diagnosis
Chapter 14. Cyber security challenges and prevention: A call from E-commerce
Chapter 15. Cyber security analysis of a few cloud platforms
Chapter 16. Mobile data anonymization in cyber security
Dr. Dinesh Sharma.
