Data Integrity attack in Cyber physical systems
The IEEE 24 bus system is modelled in Digsilent’s Power factory, and normal operating data points are generated under quasi dynamic simulation and N-2 contingencies. An optimization problem to generate false data injection attack vectors are then modelled using MATLAB. This data contains normal, contingency and attack data points for the necessary variables in a power network. The attack data has 5 parts, with each part generated by a different type of attack. A machine learning algorithm can be trained to detect and classify false data injection attacks in a power network using this data.
The AC attack dataset is generated to spoof the state estimator present at the control centre.