Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems

arXiv — cs.LG•Friday, November 7, 2025 at 5:00:00 AM

A new paper highlights an innovative automated framework for detecting and interpreting Distributed Denial of Service (DDoS) attacks using machine learning. As DDoS attacks become more frequent and complex, this research is crucial for enhancing the efficiency and transparency of detection methods. By improving real-time responses and understanding of attack vectors, this framework could significantly bolster cybersecurity measures, making it a vital development in the field.

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