{"title":"使用GENESIDS测试IDS:用于IDS评估的真实混合流量生成","authors":"Felix Erlacher, F. Dressler","doi":"10.1145/3234200.3234204","DOIUrl":null,"url":null,"abstract":"Evaluating signature-based Network Intrusion Detection Systems (NIDS) is a necessary but in general difficult task. Often, live or recorded real-world traffic is used. However, real-world network traffic is often hard to come by at larger scale and the few available traces usually do not contain application layer payload. Furthermore, these traces only contain a small amount of malicious traffic, which does not suffice to thoroughly test a NIDS. We solve this problem by proposing a complete stateful traffic generation system that mixes realistic traffic with user definable malicious HTTP traffic with the purpose of evaluating a NIDS. By relying on the Snort syntax for traffic definition, we guarantee a large dataset of realistic up-to-date attack patterns.","PeriodicalId":124017,"journal":{"name":"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Testing IDS using GENESIDS: Realistic Mixed Traffic Generation for IDS Evaluation\",\"authors\":\"Felix Erlacher, F. Dressler\",\"doi\":\"10.1145/3234200.3234204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluating signature-based Network Intrusion Detection Systems (NIDS) is a necessary but in general difficult task. Often, live or recorded real-world traffic is used. However, real-world network traffic is often hard to come by at larger scale and the few available traces usually do not contain application layer payload. Furthermore, these traces only contain a small amount of malicious traffic, which does not suffice to thoroughly test a NIDS. We solve this problem by proposing a complete stateful traffic generation system that mixes realistic traffic with user definable malicious HTTP traffic with the purpose of evaluating a NIDS. By relying on the Snort syntax for traffic definition, we guarantee a large dataset of realistic up-to-date attack patterns.\",\"PeriodicalId\":124017,\"journal\":{\"name\":\"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3234200.3234204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3234200.3234204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Testing IDS using GENESIDS: Realistic Mixed Traffic Generation for IDS Evaluation
Evaluating signature-based Network Intrusion Detection Systems (NIDS) is a necessary but in general difficult task. Often, live or recorded real-world traffic is used. However, real-world network traffic is often hard to come by at larger scale and the few available traces usually do not contain application layer payload. Furthermore, these traces only contain a small amount of malicious traffic, which does not suffice to thoroughly test a NIDS. We solve this problem by proposing a complete stateful traffic generation system that mixes realistic traffic with user definable malicious HTTP traffic with the purpose of evaluating a NIDS. By relying on the Snort syntax for traffic definition, we guarantee a large dataset of realistic up-to-date attack patterns.