{"title":"BLOBOT:挡在门口的机器人","authors":"G. Dini, Isidoro S. La Porta","doi":"10.1109/ICCGI.2009.34","DOIUrl":null,"url":null,"abstract":"In this paper we present BLOBOT, a tool for detecting botnets. BLOBOT detects botnets by detecting their command and control network. In contrast to common approaches that operate, often off-line, on aggregate network traffic, BLOBOT operates on a single user’s traffic so increasing the ability of detecting botnets in real-time. Blobot features a tradeoff between usability, security and efficiency. Preliminary experimental results prove that BLOBOT is an effective tool against botnets.","PeriodicalId":201271,"journal":{"name":"2009 Fourth International Multi-Conference on Computing in the Global Information Technology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"BLOBOT: BLOcking BOTs at the Doorstep\",\"authors\":\"G. Dini, Isidoro S. La Porta\",\"doi\":\"10.1109/ICCGI.2009.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present BLOBOT, a tool for detecting botnets. BLOBOT detects botnets by detecting their command and control network. In contrast to common approaches that operate, often off-line, on aggregate network traffic, BLOBOT operates on a single user’s traffic so increasing the ability of detecting botnets in real-time. Blobot features a tradeoff between usability, security and efficiency. Preliminary experimental results prove that BLOBOT is an effective tool against botnets.\",\"PeriodicalId\":201271,\"journal\":{\"name\":\"2009 Fourth International Multi-Conference on Computing in the Global Information Technology\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth International Multi-Conference on Computing in the Global Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCGI.2009.34\",\"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 Fourth International Multi-Conference on Computing in the Global Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCGI.2009.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we present BLOBOT, a tool for detecting botnets. BLOBOT detects botnets by detecting their command and control network. In contrast to common approaches that operate, often off-line, on aggregate network traffic, BLOBOT operates on a single user’s traffic so increasing the ability of detecting botnets in real-time. Blobot features a tradeoff between usability, security and efficiency. Preliminary experimental results prove that BLOBOT is an effective tool against botnets.
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