anomaly detection

This project aim to develop a context-aware anomaly detection mechanism/model that physically observes ICPS edge devices to detect cyberattacks: https://iotgarage.net/projects/ContextAwareSecurityforIndustrialControlSystems.html

This project aim to develop a context-aware anomaly detection mechanism/model that physically observes ICPS edge devices to detect cyberattacks: https://iotgarage.net/projects/ContextAwareSecurityforIndustrialControlSystems.html

Master thesis - Deep Learning Methods Applied to Defect Detection in Industrial Images (Deep Learning-Methoden für die Defekterkennung in Industrieaufnahmen) - Tuan Anh Nguyen

This project created a dataset that captures cyber data (Network Traffic) and physical data (sensor data from primitive sensors such as temperature, humidity, motion, etc.) from a smart home with the aim of detecting complex cyber-physical anomalies. The dataset can be found here: https://dx.doi.org/10.21227/sez1-2928

Build a seq2seq model (with/without attention) to learn normal trajectory of ROS-based robot, then use the trained model for detection with real-time input data. This project is going along side with other ros-based node for simulating cyber-attack.