| ISBN13: | 9781032621463 |
| ISBN10: | 103262146X |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 382 oldal |
| Méret: | 234x156 mm |
| Nyelv: | angol |
| Illusztrációk: | 31 Illustrations, black & white; 22 Halftones, black & white; 9 Line drawings, black & white; 10 Tables, black & white |
| 0 |
Artificial Intelligence for Cyber Security and Industry 4.0
GBP 115.00
Kattintson ide a feliratkozáshoz
Artificial Intelligence for Cyber Security and Industry 4.0 aims to provide a comprehensive overview of how AI is shaping the future of cyber security in the context of Industry 4.0.
Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges and proposes innovative solutions. It also highlights ethical concerns related to AI's use in weapon autonomy and border migration. This book is ideal for researchers, industry professionals, policy makers, and students looking to deepen their knowledge of AI's impact on cyber security and its applications in the evolving landscape of Industry 4.0. Through practical insights and forward-thinking discussions, readers will gain a well-rounded perspective on how AI can be leveraged for security while being mindful of emerging risks.
Key Features:
- Explores the dual role of AI in strengthening and threatening cyber security in the context of Industry 4.0
- Provides an in-depth analysis of AI-driven cyber security techniques, including machine learning-based intrusion detection and data anonymization
- Investigates the malicious use of AI, addressing both expanded existing threats and the emergence of novel vulnerabilities
- Discusses advanced software design for privacy preservation in big data environments
- Covers the use of AI in specific security domains, such as border surveillance, healthcare, and the Internet of Things
- Highlights AI applications in cloud security, data integrity, and privacy protection
- Introduces Quantum Machine Learning algorithms and their relevance to cyber security
- Explores the ethical concerns surrounding AI technologies, particularly in the context of weapon autonomy and border migration
- Includes real-world scenarios and methodologies, bridging the gap between academic research and industry practice
- Offers forward-looking insights into the role of AI in future cyber security challenges and solutions
1. AI For Cyber Security and Cyber Security For AI: Complementary Role 2. Malicious Usage of Artificial Intelligence: Expansion of Existing Threats and Novel Threats 3. Classification of Data Anonymization Techniques 4. Software Design for Efficient Privacy Preserving in Big Data 5. Machine Learning Based Intrusion Detection System 6. Border Surveillance: Prominent Usage Scenarios 7. Cyber Security Attacks and Internet of Things: Role of Artificial Intelligence 8. A Comprehensive Framework for Anonymizing Structured Health Data: Balancing Privacy and Utility 9. Data integrity and Privacy in Cloud Platforms: An Investigation 10. AI-Powered Autonomous Weapons: Emerging Trends 11. Navigating the Complexities: AI, Security, and Liberty at the Border 12. Smart Health Care System: Automated Methods for Disease Diagnosis 13. E-Security Evolution: Navigating the E-Commerce Cybersecurity Landscape 14. The State of Cloud Security: An Analytical Review 15. Mobile Data Anonymization in Cyber Security: Techniques, Applications & Future Directions
