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A log mining approach for process monitoring in SCADA

Abstract

SCADA (supervisory control and data acquisition) systems are used for controlling and monitoring industrial processes. We propose a methodology to systematically identify potential process-related threats in SCADA. Process-related threats take place when an attacker gains user access rights and performs actions, which look legitimate, but which are intended to disrupt the SCADA process. To detect such threats, we propose a semi-automated approach of log processing. We conduct experiments on a real-life water treatment facility. A preliminary case study suggests that our approach is effective in detecting anomalous events that might alter the regular process workflow.

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Correspondence to Dina Hadžiosmanović.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Hadžiosmanović, D., Bolzoni, D. & Hartel, P.H. A log mining approach for process monitoring in SCADA. Int. J. Inf. Secur. 11, 231–251 (2012). https://doi.org/10.1007/s10207-012-0163-8

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Keywords

  • ICS
  • SCADA
  • Security
  • SCADA log
  • Log analysis
  • Frequent pattern mining
  • Process related threat
  • HAZOP
  • PHEA
  • MELISSA