{"title":"基于免疫度的无线传感器网络动态入侵检测模型","authors":"Jianhua Zhao, Ning Liu","doi":"10.1109/ISA.2011.5873279","DOIUrl":null,"url":null,"abstract":"To improve the security of wireless sensor network (WSN), this paper designed a dynamic immunity-based intrusion detection model for WSN. The model mainly achieved the generation of detector and antigen detection. In the process of antigen detection, the self model class was introduced to filter self element and reduce the workload of the detector. In the process of detector generation, the model realized the dynamic evolution of self set, the dynamic evolution of non-mature detector, mature detector and the memory detector. At the same time, vaccine extraction and vaccination technology was applied to improve the diversity of antibodies. Simulation results showed that the model had good detection rate and low energy consumption.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Dynamic Intrusion Detection Model Based on Immunity for Wireless Sensor Network\",\"authors\":\"Jianhua Zhao, Ning Liu\",\"doi\":\"10.1109/ISA.2011.5873279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the security of wireless sensor network (WSN), this paper designed a dynamic immunity-based intrusion detection model for WSN. The model mainly achieved the generation of detector and antigen detection. In the process of antigen detection, the self model class was introduced to filter self element and reduce the workload of the detector. In the process of detector generation, the model realized the dynamic evolution of self set, the dynamic evolution of non-mature detector, mature detector and the memory detector. At the same time, vaccine extraction and vaccination technology was applied to improve the diversity of antibodies. Simulation results showed that the model had good detection rate and low energy consumption.\",\"PeriodicalId\":128163,\"journal\":{\"name\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISA.2011.5873279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISA.2011.5873279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Dynamic Intrusion Detection Model Based on Immunity for Wireless Sensor Network
To improve the security of wireless sensor network (WSN), this paper designed a dynamic immunity-based intrusion detection model for WSN. The model mainly achieved the generation of detector and antigen detection. In the process of antigen detection, the self model class was introduced to filter self element and reduce the workload of the detector. In the process of detector generation, the model realized the dynamic evolution of self set, the dynamic evolution of non-mature detector, mature detector and the memory detector. At the same time, vaccine extraction and vaccination technology was applied to improve the diversity of antibodies. Simulation results showed that the model had good detection rate and low energy consumption.