{"title":"为入侵检测系统基准测试生成具有代表性的流量","authors":"H. G. Kayacik, A. N. Zincir-Heywood","doi":"10.1109/CNSR.2005.35","DOIUrl":null,"url":null,"abstract":"In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of Web usage from Web server logs in a data driven fashion and the actual traffic is generated by employing the Web browser installed on the host. Additionally, we employed an intrusion detection system as a traffic analyzer to validate the synthetic data that the framework generated and compared it against the standard intrusion detection system benchmark data, namely KDD 99 datasets.","PeriodicalId":166700,"journal":{"name":"3rd Annual Communication Networks and Services Research Conference (CNSR'05)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Generating representative traffic for intrusion detection system benchmarking\",\"authors\":\"H. G. Kayacik, A. N. Zincir-Heywood\",\"doi\":\"10.1109/CNSR.2005.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of Web usage from Web server logs in a data driven fashion and the actual traffic is generated by employing the Web browser installed on the host. Additionally, we employed an intrusion detection system as a traffic analyzer to validate the synthetic data that the framework generated and compared it against the standard intrusion detection system benchmark data, namely KDD 99 datasets.\",\"PeriodicalId\":166700,\"journal\":{\"name\":\"3rd Annual Communication Networks and Services Research Conference (CNSR'05)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"3rd Annual Communication Networks and Services Research Conference (CNSR'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNSR.2005.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd Annual Communication Networks and Services Research Conference (CNSR'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNSR.2005.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generating representative traffic for intrusion detection system benchmarking
In this paper, a modeling and simulation framework is proposed for generating data for training and testing intrusion detection systems. The framework can develop models of Web usage from Web server logs in a data driven fashion and the actual traffic is generated by employing the Web browser installed on the host. Additionally, we employed an intrusion detection system as a traffic analyzer to validate the synthetic data that the framework generated and compared it against the standard intrusion detection system benchmark data, namely KDD 99 datasets.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
