162 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Abdul Mustafa, Muhammad Talha Khan, Muhammad Azmi Umer +2
Machine learning (ML)-based intrusion detection systems (IDS) are vulnerable to adversarial attacks. It is crucial for an IDS to learn to recognize adversarial examples before mali…
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…
A Data-Centric Approach to Generate Invariants for a Smart Grid Using Machine Learning
Danish Hudani, Muhammad Haseeb, Muhammad Taufiq +2
Cyber-Physical Systems (CPS) have gained popularity due to the increased requirements on their uninterrupted connectivity and process automation. Due to their connectivity over the…
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…