{"title":"Network intrusion detection method based on Agent and SVM","authors":"Xiaoqing Guan, Guo Hebin, Chen Luyi","doi":"10.1109/ICIME.2010.5477694","DOIUrl":null,"url":null,"abstract":"It is necessary to study a kind of network intrusion detection method which realizes faster attack detection and response. In order to improve the network intrusion detection precision further, Network intrusion detection method based on Agent and SVM is proposed to recognize the intrusion types in the paper. The network intrusion detection system based Agent and SVM are created. Then, network Intrusion detection model based on SVM is gained, and the process of intrusion detection by SVM is given. The experimental results demonstrate that the presented method in this paper is better than artificial neural network.","PeriodicalId":382705,"journal":{"name":"2010 2nd IEEE International Conference on Information Management and Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd IEEE International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2010.5477694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
It is necessary to study a kind of network intrusion detection method which realizes faster attack detection and response. In order to improve the network intrusion detection precision further, Network intrusion detection method based on Agent and SVM is proposed to recognize the intrusion types in the paper. The network intrusion detection system based Agent and SVM are created. Then, network Intrusion detection model based on SVM is gained, and the process of intrusion detection by SVM is given. The experimental results demonstrate that the presented method in this paper is better than artificial neural network.