An unsupervised system-aware framework combines online detection with an LLM-augmented contextual digital twin to deliver real-time, interpretable anomaly diagnosis in industrial control systems.
Llm-assisted physical invariant ex- traction for cyber-physical systems anomaly detection
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A literature review that categorizes anomaly detection methods in CPS, compares their strengths and weaknesses, and identifies research gaps.
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Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
A literature review that categorizes anomaly detection methods in CPS, compares their strengths and weaknesses, and identifies research gaps.