{"title":"TrackBack垃圾邮件:滥用和预防","authors":"Elie Bursztein, Peifung E. Lam, John C. Mitchell","doi":"10.1145/1655008.1655010","DOIUrl":null,"url":null,"abstract":"Contemporary blogs receive comments and TrackBacks, which result in cross-references between blogs. We conducted a longitudinal study of TrackBack spam, collecting and analyzing almost 10 million samples from a massive spam campaign over a one-year period. Unlike common delivery of email spam, the spammers did not use bots, but took advantage of an official Chinese site as a relay. Based on our analysis of TrackBack misuse found in the wild, we propose an authenticated TrackBack mechanism that defends against TrackBack spam even if attackers use a very large number of different source addresses and generate unique URLs for each TrackBack blog.","PeriodicalId":300613,"journal":{"name":"Cloud Computing Security Workshop","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"TrackBack spam: abuse and prevention\",\"authors\":\"Elie Bursztein, Peifung E. Lam, John C. Mitchell\",\"doi\":\"10.1145/1655008.1655010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Contemporary blogs receive comments and TrackBacks, which result in cross-references between blogs. We conducted a longitudinal study of TrackBack spam, collecting and analyzing almost 10 million samples from a massive spam campaign over a one-year period. Unlike common delivery of email spam, the spammers did not use bots, but took advantage of an official Chinese site as a relay. Based on our analysis of TrackBack misuse found in the wild, we propose an authenticated TrackBack mechanism that defends against TrackBack spam even if attackers use a very large number of different source addresses and generate unique URLs for each TrackBack blog.\",\"PeriodicalId\":300613,\"journal\":{\"name\":\"Cloud Computing Security Workshop\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cloud Computing Security Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1655008.1655010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cloud Computing Security Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1655008.1655010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contemporary blogs receive comments and TrackBacks, which result in cross-references between blogs. We conducted a longitudinal study of TrackBack spam, collecting and analyzing almost 10 million samples from a massive spam campaign over a one-year period. Unlike common delivery of email spam, the spammers did not use bots, but took advantage of an official Chinese site as a relay. Based on our analysis of TrackBack misuse found in the wild, we propose an authenticated TrackBack mechanism that defends against TrackBack spam even if attackers use a very large number of different source addresses and generate unique URLs for each TrackBack blog.
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