Publication detail

Behavioral Anomaly Detection in Industrial Control Systems: An Evaluation of Flowmon ADS

YOUSSEF, S. RYŠAVÝ, O.

Original Title

Behavioral Anomaly Detection in Industrial Control Systems: An Evaluation of Flowmon ADS

Type

report

Language

English

Original Abstract

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.

Keywords

Industrial Control Systems, Anomaly Detection, Cybersecurity, Network Monitoring

Authors

YOUSSEF, S.; RYŠAVÝ, O.

Released

19. 4. 2020

Publisher

Faculty of Information Technology BUT

Location

FIT-TR-2020-02, Brno

Pages count

20

URL

https://www.fit.vut.cz/research/publication/12253/

BibTex

@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/"
}

Documents

_FIT-TR-2020-02-BAD_ICS_Flowmon.pdf