Previous methods for defending against false data injection attacks only calculate a single parameter of the attack mod-el,resulting in poor defense effectiveness.To this end,a defense method for false data injection attacks in power system net-works based on KNN classification algorithm is designed.A theoretical and mathematical model is designed for false data injec-tion attacks based on the characteristics of the attack data,and the complexity and performance parameters of the attack model are calculated.With the support of KNN classification algorithm,the distance between different defense nodes is calculated,and the confidence level of the nodes is described.Through information authentication,the position of the defense nodes is de-termined.The data transfer function and trend function of nodes are calculatd,different types of attacks are analyzed,and dif-ferent defense strategies are adopted.The experimental test results show that compared with traditional methods,the success rate of attack and intrusion and data loss rate are lower after applying this method,indicating that this method has better practi-cal application effect.
关键词
KNN分类算法/电力系统/网络虚假数据/虚假数据注入攻击/攻击防御方法
Key words
KNN classification algorithm/power system/false network data/false data injection attack/defense method
维普
万方数据