{"title":"点对点协作垃圾邮件检测","authors":"N. Dimmock, I. Maddison","doi":"10.1145/1144403.1144407","DOIUrl":null,"url":null,"abstract":"Although there are many potential solutions to spam, it oftenappears that filtering and blocking are the best. Unfortunately these techniques are inadequate, as evidencedby the continuing proliferation of spam. Here we describe a student project thatevolved collaborative filtering, previouslyimplemented using a centralized repository of spam information, intoa distributed, collaborative, peer-to-peer-based spam detection system.","PeriodicalId":429016,"journal":{"name":"ACM Crossroads","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Peer-to-peer collaborative spam detection\",\"authors\":\"N. Dimmock, I. Maddison\",\"doi\":\"10.1145/1144403.1144407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there are many potential solutions to spam, it oftenappears that filtering and blocking are the best. Unfortunately these techniques are inadequate, as evidencedby the continuing proliferation of spam. Here we describe a student project thatevolved collaborative filtering, previouslyimplemented using a centralized repository of spam information, intoa distributed, collaborative, peer-to-peer-based spam detection system.\",\"PeriodicalId\":429016,\"journal\":{\"name\":\"ACM Crossroads\",\"volume\":\"155 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Crossroads\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1144403.1144407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Crossroads","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1144403.1144407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Although there are many potential solutions to spam, it oftenappears that filtering and blocking are the best. Unfortunately these techniques are inadequate, as evidencedby the continuing proliferation of spam. Here we describe a student project thatevolved collaborative filtering, previouslyimplemented using a centralized repository of spam information, intoa distributed, collaborative, peer-to-peer-based spam detection system.