{"title":"Authorship Analysis of the Zeus Botnet Source Code","authors":"R. Layton, A. Azab","doi":"10.1109/CTC.2014.14","DOIUrl":null,"url":null,"abstract":"Authorship analysis has been used successfully to analyse the provenance of source code files in previous studies. The source code for Zeus, one of the most damaging and effective botnets to date, was leaked in 2011. In this research, we analyse the source code from the lens of authorship clustering, aiming to estimate how many people wrote this malware, and what their roles are. The research provides insight into the structure the went into creating Zeus and its evolution over time. The work has potential to be used to link the malware with other malware written by the same authors, helping investigations, classification, deterrence and detection.","PeriodicalId":213064,"journal":{"name":"2014 Fifth Cybercrime and Trustworthy Computing Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fifth Cybercrime and Trustworthy Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTC.2014.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Authorship analysis has been used successfully to analyse the provenance of source code files in previous studies. The source code for Zeus, one of the most damaging and effective botnets to date, was leaked in 2011. In this research, we analyse the source code from the lens of authorship clustering, aiming to estimate how many people wrote this malware, and what their roles are. The research provides insight into the structure the went into creating Zeus and its evolution over time. The work has potential to be used to link the malware with other malware written by the same authors, helping investigations, classification, deterrence and detection.