There are Three Main Parts of the Project:
Finding Electrically Interconnected Phasor Measurement Units (PMU) in a grid with unknown Bus topology
Injecting Cyber attack into the smart grid and differentiating cyber attack and electrical events of power grid
Using Machine learning techniques (Support Vector Machine (SVM) and Multi Layered Neural Network) for detection the falsified measurements within the PMU cluster.