{"title":"Botnet’s Obfuscated C&C Infrastructure Take-down Approaches Based on Monitoring Centralized Zeus Bot Variant’s Propagation Model","authors":"V. Kebande, Likhwa Mlotshwa, Nickson M. Karie","doi":"10.23919/ISTAFRICA.2019.8764837","DOIUrl":null,"url":null,"abstract":"While botnets still pose a big threat, they have also developed to be the most dangerous dark applications over the web. They are able to compromise a multitude of computers under the Command and Control (C&C) infrastructure, that is mainly controlled by a botherder/botmaster. Normally, a botnet uses malicious code to achieve its objectives and usually the motivation is based on either financial gain or Denial of Service (DoS) attack. The problem that is being addressed in this paper is structured to explore how a botnet’s C&C infrastructure can be taken down based on how the botnet propagates itself within a network. The authors have used Zeus Botnet (ZBot) propagation model as a basis for this study. The main objective is to identify ZBot propagation patterns in order to be able to propose the take down approaches of the C&C infrastructure which acts as botnet control point. It is imperative to note that, even though ZBot was mainly resilient to attacks because of its Peer-to-Peer (P2P) nature, still other Zeus variants were controlled or acted as centralized bots. The study is more inclined to exploring the centralized Zeus variants like GameOver Zeus (GOZ) and ICE-IX for purposes of identifying the approaches. Based on the ZBot attack study, the C&C infrastructure can effectively be infiltrated hence averting unwarranted botnet attacks.","PeriodicalId":420572,"journal":{"name":"2019 IST-Africa Week Conference (IST-Africa)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IST-Africa Week Conference (IST-Africa)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ISTAFRICA.2019.8764837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
While botnets still pose a big threat, they have also developed to be the most dangerous dark applications over the web. They are able to compromise a multitude of computers under the Command and Control (C&C) infrastructure, that is mainly controlled by a botherder/botmaster. Normally, a botnet uses malicious code to achieve its objectives and usually the motivation is based on either financial gain or Denial of Service (DoS) attack. The problem that is being addressed in this paper is structured to explore how a botnet’s C&C infrastructure can be taken down based on how the botnet propagates itself within a network. The authors have used Zeus Botnet (ZBot) propagation model as a basis for this study. The main objective is to identify ZBot propagation patterns in order to be able to propose the take down approaches of the C&C infrastructure which acts as botnet control point. It is imperative to note that, even though ZBot was mainly resilient to attacks because of its Peer-to-Peer (P2P) nature, still other Zeus variants were controlled or acted as centralized bots. The study is more inclined to exploring the centralized Zeus variants like GameOver Zeus (GOZ) and ICE-IX for purposes of identifying the approaches. Based on the ZBot attack study, the C&C infrastructure can effectively be infiltrated hence averting unwarranted botnet attacks.
虽然僵尸网络仍然构成巨大威胁,但它们也已发展成为网络上最危险的黑暗应用程序。他们能够破坏指挥与控制(C&C)基础设施下的大量计算机,这些基础设施主要由干扰者/botmaster控制。通常,僵尸网络使用恶意代码来实现其目标,通常动机是基于经济利益或拒绝服务(DoS)攻击。本文所要解决的问题是基于僵尸网络在网络中传播的方式来探索如何摧毁僵尸网络的C&C基础设施。本文采用Zeus僵尸网络(ZBot)的传播模型作为研究的基础。主要目标是识别ZBot传播模式,以便能够提出作为僵尸网络控制点的C&C基础设施的拆除方法。必须注意的是,尽管ZBot主要是由于其点对点(P2P)性质而对攻击具有弹性,但仍然有其他Zeus变体受到控制或充当集中式机器人。该研究更倾向于探索集中的Zeus变体,如GameOver Zeus (GOZ)和ICE-IX,以确定方法。基于ZBot攻击研究,C&C基础设施可以有效渗透,从而避免不必要的僵尸网络攻击。