Carson D. Brown, Alex Cowperthwaite, Abdulrahman Hijazi, Anil Somayaji
{"title":"基于NetADHICT的1999年DARPA/Lincoln实验室IDS评估数据分析","authors":"Carson D. Brown, Alex Cowperthwaite, Abdulrahman Hijazi, Anil Somayaji","doi":"10.1109/CISDA.2009.5356522","DOIUrl":null,"url":null,"abstract":"The 1999 DARPA/Lincoln Laboratory IDS Evaluation Data has been widely used in the intrusion detection and networking community, even though it is known to have a number of artifacts. Here we show that many of these artifacts, including the lack of damaged or unusual background packets and uniform host distribution, can be easily extracted using NetADHICT, a tool we developed for understanding networks. In addition, using NetADHICT we were able to identify extreme temporal variation in the data, a characteristic that was not identified in past analyses. These results illustrate the utility of NetADHICT in characterizing network traces for experimental purposes.","PeriodicalId":6407,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","volume":"13 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":"{\"title\":\"Analysis of the 1999 DARPA/Lincoln Laboratory IDS evaluation data with NetADHICT\",\"authors\":\"Carson D. Brown, Alex Cowperthwaite, Abdulrahman Hijazi, Anil Somayaji\",\"doi\":\"10.1109/CISDA.2009.5356522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The 1999 DARPA/Lincoln Laboratory IDS Evaluation Data has been widely used in the intrusion detection and networking community, even though it is known to have a number of artifacts. Here we show that many of these artifacts, including the lack of damaged or unusual background packets and uniform host distribution, can be easily extracted using NetADHICT, a tool we developed for understanding networks. In addition, using NetADHICT we were able to identify extreme temporal variation in the data, a characteristic that was not identified in past analyses. These results illustrate the utility of NetADHICT in characterizing network traces for experimental purposes.\",\"PeriodicalId\":6407,\"journal\":{\"name\":\"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications\",\"volume\":\"13 1\",\"pages\":\"1-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"65\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISDA.2009.5356522\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISDA.2009.5356522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the 1999 DARPA/Lincoln Laboratory IDS evaluation data with NetADHICT
The 1999 DARPA/Lincoln Laboratory IDS Evaluation Data has been widely used in the intrusion detection and networking community, even though it is known to have a number of artifacts. Here we show that many of these artifacts, including the lack of damaged or unusual background packets and uniform host distribution, can be easily extracted using NetADHICT, a tool we developed for understanding networks. In addition, using NetADHICT we were able to identify extreme temporal variation in the data, a characteristic that was not identified in past analyses. These results illustrate the utility of NetADHICT in characterizing network traces for experimental purposes.