Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random is reduced. monitoring security smart grid systems are improved using reconfigurable Kalman filter. Methods: A sinusoidal voltage signal with Gaussian noise applied to the Reconfigurable Euclidean detector (RED) evaluator. MATLAB function randn() has been used produce sequence channel mean value zero analysed amplitude variation respect evolution state variable. rate threshold. detection various attacks such as DDOS, Random false also analysed. proposed mathematical model effectively reconstructed frame original from evaluator variable detectors.