3 papers
cs.CR2026
How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc +2
Provenance-based intrusion detection systems (PIDS) frequently report strong performance, but the conclusions drawn from these results can be highly sensitive to benchmarking choic…
cs.LG2025
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc +2
Detecting intrusions in network traffic is a challenging task, particularly under limited supervision and constantly evolving attack patterns. While recent works have leveraged gra…
cs.CR2024
AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)
Lorenzo Guerra, Linhan Xu, Paolo Bellavista +4
The integration of digital devices in modern vehicles has revolutionized automotive technology, enhancing safety and the overall driving experience. The Controller Area Network (CA…