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What is ML/DL Techniques for DDoS Mitigation in SDN about?

This literature review examines the application of Machine Learning (ML) and Deep Learning (DL) techniques for predicting and mitigating Distributed Denial of Service (DDoS) attacks within Software Defined Networking (SDN) frameworks. It highlights the adaptability and effectiveness of these techniques in real-time intrusion response while addressing ongoing challenges such as performance optimization and ethical considerations. The review emphasizes the need for continuous research to enhance defense mecha

Author

bharat

Language

EN