arXiv Open Access 2025

Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems

Muhammad Azmi Umer Chuadhry Mujeeb Ahmed Aditya Mathur Muhammad Taha Jilani
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (4)

M

Muhammad Azmi Umer

C

Chuadhry Mujeeb Ahmed

A

Aditya Mathur

M

Muhammad Taha Jilani

Format Sitasi

Umer, M.A., Ahmed, C.M., Mathur, A., Jilani, M.T. (2025). Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems. https://arxiv.org/abs/2508.04561

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓