output
20132025
most citedMachine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

162 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CR2022★ 162 cited

Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

Muhammad Azmi Umer, Khurum Nazir Junejo, Muhammad Taha Jilani +1

Methods from machine learning are being applied to design Industrial Control Systems resilient to cyber-attacks. Such methods focus on two major areas: the detection of intrusions…

cs.CR2021

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

Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani +1

Adversarial learning is used to test the robustness of machine learning algorithms under attack and create attacks that deceive the anomaly detection methods in Industrial Control…