Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning

11 July 2021

Papers citing "Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning"

6 / 6 papers shown

Title
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems Abdul Mustafa Muhammad Talha Khan Muhammad Azmi Umer Zaki Masood Chuadhry Mujeeb Ahmed AAML 53 0 0 06 May 2025
AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System Chuadhry Mujeeb Ahmed AAML 28 1 0 05 Apr 2025
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection Dominik Kus Eric Wagner Jan Pennekamp Konrad Wolsing I. Fink Markus Dahlmanns Klaus Wehrle Martin Henze 26 24 0 18 May 2022
Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations Muhammad Azmi Umer K. N. Junejo Muhammad Taha Jilani A. Mathur AI4CE 27 89 0 24 Feb 2022
A Data-Centric Approach to Generate Invariants for a Smart Grid Using Machine Learning Danish Hudani M. Haseeb M. Taufiq Muhammad Azmi Umer N. Kandasamy 8 6 0 14 Feb 2022
Scanning the Cycle: Timing-based Authentication on PLCs Chuadhry Mujeeb Ahmed Martín Ochoa Jianying Zhou A. Mathur 20 16 0 17 Feb 2021