Residual detection of power false data injection attacks based on XGBoost algorithm
Uncertainty factors such as load fluctuations and voltage imbalance in the power system can affect the accuracy of residual detection in power false data injection attacks,leading to false data injection attacks on the power system,resulting in misjudgment or loss of control.Therefore,a residual detection method for power false data injection attacks based on XGBoost algorithm is designed.Complete the identification of false power data based on the principle of XGBoost algorithm;Construct a complete set of false data,analyze the behavior of false data injection attacks,determine the range of residual detection coefficients,and achieve residual detection of power false data injection attacks based on XGBoost algorithm.The experimental results show that the proposed method can accurately detect the real-time injection amount of false data,thereby controlling the numerical difference between the detection results and the actual injection amount at a low level,in order to effectively control the attack behavior of power false data injection.
万方数据
维普
