{"title":"BotDigger:一个用于僵尸网络检测的模糊推理系统","authors":"Basheer Al-Duwairi, L. Al-Ebbini","doi":"10.1109/ICIMP.2010.11","DOIUrl":null,"url":null,"abstract":"This paper proposes BotDigger, a fuzzy logic-based botnet detection system. In this system, we derive a set of logical rules based on a well known botnet characteristics. Utilizing these rules, an adaptive logic algorithm will be applied on network traffic traces searching for botnet footprints and associating a trust level for each host present in the sampled data. Future work will focus on evaluating the proposed approach using real traffic traces.","PeriodicalId":314947,"journal":{"name":"2010 Fifth International Conference on Internet Monitoring and Protection","volume":"124 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"BotDigger: A Fuzzy Inference System for Botnet Detection\",\"authors\":\"Basheer Al-Duwairi, L. Al-Ebbini\",\"doi\":\"10.1109/ICIMP.2010.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes BotDigger, a fuzzy logic-based botnet detection system. In this system, we derive a set of logical rules based on a well known botnet characteristics. Utilizing these rules, an adaptive logic algorithm will be applied on network traffic traces searching for botnet footprints and associating a trust level for each host present in the sampled data. Future work will focus on evaluating the proposed approach using real traffic traces.\",\"PeriodicalId\":314947,\"journal\":{\"name\":\"2010 Fifth International Conference on Internet Monitoring and Protection\",\"volume\":\"124 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"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.2010.11\",\"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.2010.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BotDigger: A Fuzzy Inference System for Botnet Detection
This paper proposes BotDigger, a fuzzy logic-based botnet detection system. In this system, we derive a set of logical rules based on a well known botnet characteristics. Utilizing these rules, an adaptive logic algorithm will be applied on network traffic traces searching for botnet footprints and associating a trust level for each host present in the sampled data. Future work will focus on evaluating the proposed approach using real traffic traces.
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