Utilizing AI in network and mobile security for threat detection and prevention /
| Other Authors: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global Scientific Publishing,
2025.
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| Subjects: |
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.