Machine Learning Methods for Attack Detection in the Smart Grid

no code implementations • 22 Mar 2015 • Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor

The relationships between statistical and geometric properties of attack vectors employed in the attack scenarios and learning algorithms are analyzed to detect unobservable attacks using statistical learning methods.

BIG-bench Machine Learning