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What is Proactive DDoS Detection with ML Techniques about?

This study presents a proactive approach to DDoS detection by integrating innovative packet marking techniques with machine learning to enhance network security. Three novel packet marking methods—Linear, Remainder, and Probabilistic Packet Marking—are introduced, alongside a comparative analysis of various machine learning models, achieving high accuracy in identifying DDoS attacks. The research emphasizes the need for real-time detection and prevention mechanisms to address the evolving threat landscape o

Author

orhankseoglu

Language

EN