{"title":"高速网络中有效检测的IDS自适应","authors":"Abdelhalim Zaidi, Tayeb Kenaza, N. Agoulmine","doi":"10.1109/ICIMP.2010.10","DOIUrl":null,"url":null,"abstract":"Intrusion Detection Systems are essential in a network security solution. However, with the significant development of network technologies, the current IDS architecture does not support high-speed communications. Therefore, improving the performance of IDS is a major concern for researchers. In this paper, we present a model of intrusion detection based on the classification of network connections. Our approach is based on the principle of an intelligent loss. We propose a classification model based on the principle that a connection is either malicious or not. In the first case, the connection must be handled by the IDS; otherwise we can ignore it. This method reduces significantly the network flow sent to the IDS with a tolerance of an error threshold. This threshold can be adjusted by the updating process of the classification model.","PeriodicalId":314947,"journal":{"name":"2010 Fifth International Conference on Internet Monitoring and Protection","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"IDS Adaptation for an Efficient Detection in High-Speed Networks\",\"authors\":\"Abdelhalim Zaidi, Tayeb Kenaza, N. Agoulmine\",\"doi\":\"10.1109/ICIMP.2010.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intrusion Detection Systems are essential in a network security solution. However, with the significant development of network technologies, the current IDS architecture does not support high-speed communications. Therefore, improving the performance of IDS is a major concern for researchers. In this paper, we present a model of intrusion detection based on the classification of network connections. Our approach is based on the principle of an intelligent loss. We propose a classification model based on the principle that a connection is either malicious or not. In the first case, the connection must be handled by the IDS; otherwise we can ignore it. This method reduces significantly the network flow sent to the IDS with a tolerance of an error threshold. This threshold can be adjusted by the updating process of the classification model.\",\"PeriodicalId\":314947,\"journal\":{\"name\":\"2010 Fifth International Conference on Internet Monitoring and Protection\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fifth International Conference on Internet Monitoring and Protection\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMP.2010.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fifth International Conference on Internet Monitoring and Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMP.2010.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IDS Adaptation for an Efficient Detection in High-Speed Networks
Intrusion Detection Systems are essential in a network security solution. However, with the significant development of network technologies, the current IDS architecture does not support high-speed communications. Therefore, improving the performance of IDS is a major concern for researchers. In this paper, we present a model of intrusion detection based on the classification of network connections. Our approach is based on the principle of an intelligent loss. We propose a classification model based on the principle that a connection is either malicious or not. In the first case, the connection must be handled by the IDS; otherwise we can ignore it. This method reduces significantly the network flow sent to the IDS with a tolerance of an error threshold. This threshold can be adjusted by the updating process of the classification model.