Advancing cyber security through quantum cryptography /
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2025.
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| Series: | Advances in information security, privacy, and ethics (AISPE) book series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Foreword
- Preface
- Acknowledgment
- Chapter 1. Introduction to Quantum Cryptography Fundamentals and Applications
- Chapter 2. Moving Towards a Quantum Age: Recent Trends in Quantum and Post-Quantum Cryptography
- Chapter 3. Quantum Cryptography and Its Implications for Future Cyber Security Trends
- Chapter 4. Quantum Cryptography-Enhanced Cyber Security Intrusion Detection System APTs Attacks in Blockchain
- Chapter 5. Quantum Key Distribution Protocols: Survey and Analysis
- Chapter 6. Quantum Cryptography and Machine Learning: Enhancing Security in AI Systems
- Chapter 7. Quantum Cryptography for Secured IoT Devices
- Chapter 8. Quantum Cryptography and Healthcare Security: Safeguarding Patient Data in Medical Systems
- Chapter 9. Cyber Security Techniques Architecture and Design: Cyber-Attacks Detection and Prevention
- Chapter 10. Navigating the Cybersecurity Terrain: An Overview of Essential Tools and Techniques
- Chapter 11. Enhancing Cyber-Physical Systems Security Through Advanced Defense Mechanisms
- Chapter 12. Light-Weight Cryptography Technique for Secure Healthcare Wearable IoT Device Data
- Chapter 13. Cyber-Security of IoT in Post-Quantum World: Challenges, State of the Art, and Direction for Future Research
- Chapter 14. Enhancing Credit Card Security Using Supervised Machine Learning Approach for Intelligent Fraud Detection
- Chapter 15. ERSA Enhanced RSA: Advanced Security to Overcome Cyber-Vulnerability
- Chapter 16. Revolutionizing Quantum Cryptography With Artificial Intelligence: A Perspective for Collaborative Research
- Chapter 17. Hyperparameter Tuning of Pre-Trained Architectures for Multi-Modal Cyberbullying Detection
- Compilation of References
- About the Contributors
- Index.