This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.

1. Enhancing 5G and IoT Network Security: A Multi-Model Deep Learning Approach for Attack Classification. 2. Dynamic Deployment and Traffic Scheduling of UPF in 5G Networks. 3. Spatial Federated Learning and Blockchain based 5G Communication Model for Hiding Confidential Information. 4. Mining Intelligence Hierarchical Feature for Malware Detection over 5G Network. 5. Enhancing Reliability and Security of Power Monitoring Systems in the Era of 5G Networks. 6. Passive Voice in 5G Mobile Edge Computing: Optimizing Energy Efficiency and Resource Utilization. 7. Exchange Matching Algorithm for Low-Complexity Traffic Scheduling for 5G Fronthaul Networks. 8. Attack Path Discovery in Dynamic Network Environments for Automated Penetration Testing over 5G Networks. 9. Enhancing Electric Vehicle Charging Efficiency in Urban Areas with 5G Network Integration and Network Attack Mitigation. 10. Next-Generation Intrusion Detection System for 5G Networks with Enhanced Security Using Updated Datasets