{"title":"Design of Network Element Intrusion Risk Evaluation Model for Smart Grid Communication System","authors":"Jie Huang, Kewei Zhang, Zhiyong Zha, X. Luo, Fei Long, Huan-min Xu, Hao Feng","doi":"10.1109/ICSGEA.2018.00011","DOIUrl":null,"url":null,"abstract":"The construction of intrusion risk assessment model of intelligent power network communication system is studied, intelligent power network communication system is designed for network intrusion detection for improving the security of communication system in power network, and improving the ability of connectivity and fault intelligent of power network communication system. A network intrusion detection method for intelligent power network communication systems is proposed based on homomorphic routing modulation and adaptive empirical mode decomposition. The multi-path model restructuring intelligent power network communication system network intrusion signal, the intrusion signal using fuzzy adaptive beam about spectrum decomposition empirical mode decomposition method, choose a wavelet function to realize fuzzy constraint control intrusion signal, the homomorphism of fuzzy constraint routing modulation adaptive beamforming method intelligent power network communication system network node, realize the power Intrusion detection and risk assessment of network communication system network elements. The simulation results show that using the method of risk assessment of power network intrusion intelligent communication system network elements with high accuracy, it has high detection probability on the accuracy of network intrusion, it has strong anti-interference ability, the security of power network is improved.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The construction of intrusion risk assessment model of intelligent power network communication system is studied, intelligent power network communication system is designed for network intrusion detection for improving the security of communication system in power network, and improving the ability of connectivity and fault intelligent of power network communication system. A network intrusion detection method for intelligent power network communication systems is proposed based on homomorphic routing modulation and adaptive empirical mode decomposition. The multi-path model restructuring intelligent power network communication system network intrusion signal, the intrusion signal using fuzzy adaptive beam about spectrum decomposition empirical mode decomposition method, choose a wavelet function to realize fuzzy constraint control intrusion signal, the homomorphism of fuzzy constraint routing modulation adaptive beamforming method intelligent power network communication system network node, realize the power Intrusion detection and risk assessment of network communication system network elements. The simulation results show that using the method of risk assessment of power network intrusion intelligent communication system network elements with high accuracy, it has high detection probability on the accuracy of network intrusion, it has strong anti-interference ability, the security of power network is improved.