Research And Implementation Of Intrusion Detection System In Smart Grid Neighborhood Area Network

In recent years,the smart grid has gradually become the common development trend of the world's power industry.As the central hub of intelligent power communication network,the security problem of the NAN is paid more and more attention by researchers.At present,technologies such as physical control,data encryption and authentication have been applied to improve the security at the neighborhood layer.However,there is still a lack of timely and effective detection methods to prevent the network from being threatened by malicious intrusion.How to detect the presence of threats in the smart grid NAN is one of the most urgent problems in smart grid security.Domestic and international research on the safety of smart grid neighborhood network is still in its infancy.This paper firstly analyzes the current research results,and analyzes the existing intrusion detection methods in the NAN.Then,a hierarchical collaborative intrusion detection model based on trust whitelist is proposed,and based on this model,a NAN intrusion detection system is designed and implemented.The main work of this paper is as follows:First of all,in view of the fact that the current intrusion detection technologies of the neighbor networks mostly refer to the single rule matching or machine learning technology in the traditional computer networks,the problems of the related features of the neighbor networks are not analyzed.Then,a trust-based white list-based SVM intrusion detection algorithm is proposed.This algorithm combines the advantages of the two detection techniques to lay the foundation for the design of the detection model.Secondly,based on the algorithm proposed in this paper,a hierarchical collaborative intrusion detection model is designed according to the unique device hierarchy of the neighborhood network and the different levels of performance and security of the electrical devices at all levels.The corresponding intrusion detection technology,so that two levels of collaborative testing to improve intrusion detection accuracy and real-time.The proposed test model is tested by simulation and compared with other schemes to verify that it can achieve the balance between detection accuracy and timeliness.Finally,the system design and implementation are carried out according to the proposed hierarchical collaborative detection model based on trust whitelist,and the experiments are conducted to verify the effectiveness of the algorithm and system.