Table of Contents:
  • Preface
  • Chapter 1. Fortifying the Digital World and Shielding Smart Infrastructures: Artificial Intelligence (AI)-Enabled Malware and Threat
  • Chapter 2. Proactively Approaching Cybersecurity With AI-Powered Malware Detection Is Essential
  • Chapter 3. Art of Network Monitoring and Security Enhancement Using AI-Driven Tools
  • Chapter 4. Autoencoder-Based Anomaly Detection for Cyber Threat Monitoring
  • Chapter 5. Malicious Anomaly Detection and Prediction Using Prophet Luminol and RNN
  • Chapter 6. A Framework for Insider Threat Detection Using Role-Based Profile Assessment and Threshold
  • Chapter 7. Attacks Detection and Mitigation of IoT Using Machine Learning Model
  • Chapter 8. Analysis for Detection and Mitigation of Version Number Modification Attack in the Internet of Things
  • Chapter 9. Semantic Search for IoT-Based Object Recognition Using Clustering and Classification
  • Chapter 10. Ethical Issues in Cyber-Security for Autonomous Vehicles (AV) and Automated Driving: A Comprehensive Review
  • Chapter 11. Post-Quantum Cryptography in the Age of Quantum Computing
  • Chapter 12. Data Security With Replication for Cloud Computing
  • Chapter 13. Trust Evaluation Enhancing Security in the Cloud Market Based on Trust Framework Using Metric Parameter Selection
  • Chapter 14. Secure Cloud-Marketplaces: A Trust Framework for Evaluating Security for Client Service Providers
  • Chapter 15. Evolution of Data Security in E-Commerce
  • Compilation of References
  • About the Contributors
  • Index.