INDI Intelligent Intrusion Detection Systems for Industrial Networks

The INDI project is researching a novel technology for detecting and controlling cyber attacks in industrial grids. Because modern attacks are often unique and therefore difficult to model, this technology is based on the concept of anomaly detection. Network traffic in industrial plants is automatically analyzed using machine learning techniques. From the analysis, models for the normal operation of the plants are derived and calculated. These models make it possible to identify unusual communications in the industrial networks and detect known or unknown attacks. In order to prevent impairment of the sensitive equipment, the detection technology is embedded in robust microkernel systems, which ensure use without disruptive effects and are also hardened against targeted attacks.