2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CR2026
Where Does Detection Fail? A Residual-Evidence Diagnostic Workflow for Industrial Control Systems
Peiran Shi, Jian Xiang, Xiang Zhang +1
Residual-based anomaly detectors for industrial control systems (ICS) convert model residuals into anomaly scores and alarms, but final detection metrics provide little guidance on…
cs.CR2025
Few-Shot Learning-Based Cyber Incident Detection with Augmented Context Intelligence
Fei Zuo, Junghwan Rhee, Yung Ryn Choe +2
In recent years, the adoption of cloud services has been expanding at an unprecedented rate. As more and more organizations migrate or deploy their businesses to the cloud, a multi…
cs.CR2024★ 2 cited
INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
Danial Abshari, Peiran Shi, Chenglong Fu +2
Cyber-Physical Systems (CPS) are vulnerable to cyber-physical attacks that violate physical laws. While invariant-based anomaly detection is effective, existing methods are limited…