Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems

Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Aditya Mathur, Muhammad Taha Jilani
8/6/2025
cs.CRcs.LG

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Abstract

This work focuses on validation of attack pattern mining in the context of Industrial Control System (ICS) security. A comprehensive security assessment of an ICS requires generating a large and variety of attack patterns. For this purpose we have proposed a data driven technique to generate attack patterns for an ICS. The proposed technique has been used to generate over 100,000 attack patterns from data gathered from an operational water treatment plant. In this work we present a detailed case study to validate the attack patterns.

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Cite this paper

@article{umer2025attack,
  title  = {Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems},
  author = {Muhammad Azmi Umer and Chuadhry Mujeeb Ahmed and Aditya Mathur and Muhammad Taha Jilani},
  year   = {2025},
  eprint = {2508.04561},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.04561v1}
}

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