3 papers
cs.CR2025
Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
Paul Badu Yakubu, Lesther Santana, Mohamed Rahouti +3
With the increasing frequency and sophistication of Distributed Denial of Service (DDoS) attacks, it has become critical to develop more efficient and interpretable detection metho…
cs.CR2024
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks
Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti
Network intrusion detection systems face significant challenges in identifying emerging attack patterns, especially when limited data samples are available. To address this, we pro…
cs.CR2024
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems
Paul Badu Yakubu, Evans Owusu, Lesther Santana +3
Denial of Service (DoS) attacks pose a significant threat in the realm of AI systems security, causing substantial financial losses and downtime. However, AI systems' high computat…