Publication Details
Behavioral Anomaly Detection in Industrial Control Systems: An Evaluation of Flowmon ADS
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)
Industrial Control Systems, Anomaly Detection, Cybersecurity, Network Monitoring
This report provides results from the experiments aimed to evaluate the threat detection capabilities of the Flowmon Anomaly Detection System in the environment of Industrial Control Systems. The experiments follow a procedure described in the NISTIR 8219 report, which identifies a critical set of security threats to ICS and illustrates how behavior anomaly detection systems can be used as a key security component for industrial systems. We have shown that many of the identified security threats can be identified with the Flowmon ADS even without considering any specific ICS rules. The report systematically evaluates the scenarios considering network-based anomaly detection methods. We set up a virtual environment that contains ICS and Flowmon software. In this environment, we were able to demonstrate all scenarios and check Flowmon responses to the induced security threats.
@techreport{BUT163656,
author="Sawsan {Youssef} and Ondřej {Ryšavý}",
title="Behavioral Anomaly Detection in Industrial Control Systems: An Evaluation of Flowmon ADS",
year="2020",
publisher="Faculty of Information Technology BUT",
address="FIT-TR-2020-02, Brno",
pages="20",
url="https://www.fit.vut.cz/research/publication/12253/"
}