Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866911094735372288 |
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| author | Umer, Muhammad Azmi Ahmed, Chuadhry Mujeeb Mathur, Aditya Jilani, Muhammad Taha |
| author_facet | Umer, Muhammad Azmi Ahmed, Chuadhry Mujeeb Mathur, Aditya Jilani, Muhammad Taha |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_04561 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems Umer, Muhammad Azmi Ahmed, Chuadhry Mujeeb Mathur, Aditya Jilani, Muhammad Taha Cryptography and Security Machine Learning 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. |
| title | Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems |
| topic | Cryptography and Security Machine Learning |
| url | https://arxiv.org/abs/2508.04561 |