4 papers
Beyond Detection Accuracy: Measuring Explanation Cost, Stability, and Utility for Resource-Aware IoT Intrusion Detection
Abdurrahman Tolay
Machine-learning intrusion-detection studies commonly emphasize predictive accuracy while treating explanation generation as a computationally free post-processing step. This study…
A Deployment-Oriented Framework for Explainable AI-Assisted eBPF/XDP Mitigation at the IoT Edge
Abdurrahman Tolay
Internet of Things (IoT) deployments combine heterogeneous, resource-constrained devices with weak security configurations, exposed services, limited logging, patching constraints,…
Automated SBOM-Driven Vulnerability Triage for IoT Firmware: A Lightweight Pipeline for Risk Prioritization
Abdurrahman Tolay
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, primarily due to the opacity of firmware components and the complexity of supp…
eBPF-Based Real-Time DDoS Mitigation for IoT Edge Devices
Abdurrahman Tolay
The rapid expansion of the Internet of Things (IoT) has intensified security challenges, notably from Distributed Denial of Service (DDoS) attacks launched by compromised, resource…