Intelligent Cloud Networking: AI-Driven Resource Management and Security

Intelligent Cloud Networking: AI-Driven Resource Management and Security provides a comprehensive exploration of advanced networking techniques designed for modern cloud computing environments. The book begins with foundational concepts of cloud architecture, virtualization, software-defined networking, and distributed computing frameworks.
Building on these fundamentals, the text examines the application of artificial intelligence and machine learning techniques for dynamic resource management, network traffic optimization, predictive workload allocation, and automated fault detection. The book also explores intelligent orchestration systems that enable efficient scaling of cloud resources across hybrid and multi-cloud environments.
A major focus is placed on security challenges within cloud networks, including intrusion detection, threat intelligence, anomaly detection, secure access control, and AI-enabled cybersecurity mechanisms. The role of blockchain-based security frameworks and privacy-preserving computing methods is also discussed.
Through real-world examples, case studies, and emerging research trends, the book demonstrates how AI-driven networking solutions enhance performance, reliability, and resilience in large-scale cloud infrastructures. Designed for students, researchers, and professionals in computer science, information technology, and cloud engineering, this book serves as a valuable resource for understanding the future of intelligent cloud networking systems.