Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems

10 Apr 2020Eirini AnthiLowri WilliamsMatilda RhodePete BurnapAdam Wedgbury

The proliferation and application of machine learning based Intrusion Detection Systems (IDS) have allowed for more flexibility and efficiency in the automated detection of cyber attacks in Industrial Control Systems (ICS). However, the introduction of such IDSs has also created an additional attack vector; the learning models may also be subject to cyber attacks, otherwise referred to as Adversarial Machine Learning (AML)... (read more)

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