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A method for testing distributed anomaly detectors

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  • Sugumar, Gayathri
  • Mathur, Aditya

Abstract

Distributed anomaly detectors are deployed in critical infrastructure to raise alerts when the underlying plant deviates from its expected behaviour. A novel method, referred to as SCM, that uses well defined state and command mutation operators, is proposed to test such detectors prior to their deployment. Cyber-attacks, each modelled as a timed-automaton, serve as reference attacks. A potentially large set of attacks is then created by systematically applying the mutation operators to each reference attack. In a case study, SCM was applied to a timed-automata model of a water treatment plant to assess its effectiveness in testing a distributed anomaly detector. Results attest to the value of SCM in identifying weaknesses in an anomaly detector, prior to its deployment, and improving its effectiveness in detecting process anomalies.

Suggested Citation

  • Sugumar, Gayathri & Mathur, Aditya, 2019. "A method for testing distributed anomaly detectors," International Journal of Critical Infrastructure Protection, Elsevier, vol. 27(C).
    • Handle: RePEc:eee:ijocip:v:27:y:2019:i:c:s1874548219301210
    DOI: 10.1016/j.ijcip.2019.100324
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    References listed on IDEAS

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    1. Sharon Weinberger, 2011. "Computer security: Is this the start of cyberwarfare?," Nature, Nature, vol. 474(7350), pages 142-145, June.
    2. Huang, Yu-Lun & Cárdenas, Alvaro A. & Amin, Saurabh & Lin, Zong-Syun & Tsai, Hsin-Yi & Sastry, Shankar, 2009. "Understanding the physical and economic consequences of attacks on control systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(3), pages 73-83.
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    Cited by:

    1. Umer, Muhammad Azmi & Junejo, Khurum Nazir & Jilani, Muhammad Taha & Mathur, Aditya P., 2022. "Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).

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