Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
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 …
attack and create attacks that deceive the anomaly detection methods in Industrial Control …
A data-centric approach to generate invariants for a smart grid using machine learning
Cyber-Physical Systems (CPS) have gained popularity due to the increased requirements
on their uninterrupted connectivity and process automation. Due to their connectivity over …
on their uninterrupted connectivity and process automation. Due to their connectivity over …