Lei Ren

MGDefender: Scan-Cycle-Aware PLC Protection Through Embedded Virtualization and Lightweight I/O Anomaly Detection

Industrial Control Systems (ICS) are increasingly exposed to cyber-physical attacks such as man-in-the-middle manipulation, sensor spoofing, and protocol-compliant command injection. Network-side defenses may lose process visibility under encrypted traffic or protocol-compliant spoofing, whereas host-side monitoring ca...

DTAgent: Dynamic Time-Series Agent for Industrial Anomaly Detection.

A dynamic time-series agent (DTAgent), a large-small model collaborative framework that enables scenario understanding and scheduling via an LLM, and achieves detection through a series of dynamic expert small models is proposed.

CAAD: A Cross-Modal Autoregressive Diffusion Approach for Anomaly Detection in Complex Industrial Processes

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems

Industrial time-series signals, such as turbine temperature and rotational speed in aero-engines, are essential for monitoring the health and operational status of complex dynamical systems. However, collecting such data is often limited by harsh environments (e.g., high temperature and high pressure) and the high cost...