Attack rules: an adversarial approach to generate attacks for Industrial Control Systems using machine learning
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
System (ICS). Given that security assessment of an ICS demands that an exhaustive set of
possible attack patterns is studied, in this work, we propose an association rule mining-
based attack generation technique. The technique has been implemented using data from a
Secure Water Treatment plant. The proposed technique was able to generate more than …
attack and create attacks that deceive the anomaly detection methods in Industrial Control
System (ICS). Given that security assessment of an ICS demands that an exhaustive set of
possible attack patterns is studied, in this work, we propose an association rule mining-
based attack generation technique. The technique has been implemented using data from a
Secure Water Treatment plant. The proposed technique was able to generate more than …
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning
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
System (ICS). Given that security assessment of an ICS demands that an exhaustive set of
possible attack patterns is studied, in this work, we propose an association rule mining-
based attack generation technique. The technique has been implemented using data from a
secure Water Treatment plant. The proposed technique was able to generate more than …
attack and create attacks that deceive the anomaly detection methods in Industrial Control
System (ICS). Given that security assessment of an ICS demands that an exhaustive set of
possible attack patterns is studied, in this work, we propose an association rule mining-
based attack generation technique. The technique has been implemented using data from a
secure Water Treatment plant. The proposed technique was able to generate more than …
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