• DocumentCode
    3481238
  • Title

    MasterBlaster: Identifying Influential Players in Botnet Transactions

  • Author

    Paxton, Napoleon C. ; Ahn, Gail-Joon ; Shehab, Mohamed

  • Author_Institution
    Coll. of Comput. & Inf., UNC Charlotte, Charlotte, NC, USA
  • fYear
    2011
  • fDate
    18-22 July 2011
  • Firstpage
    413
  • Lastpage
    419
  • Abstract
    Botnets continue to be a critical tool for hackers in exploiting vulnerabilities of systems and destructing computer networks. Botnet monitoring is a method used to study and identify malicious capabilities of a botnet, but current botnet monitoring projects mainly identify the magnitude of the botnet problem and tend to overt some fundamental problems, such as the diversified sources of the attacks. Most malicious botnets have the ability to be rented out to a broad range of potential customers, allowing each customer to launch different attacks from the other. Consequently, under the control of multiple botmasters, various attacks and transactions at different times attempt to damage networked infrastructures. In this paper we propose a multi-layered analysis system called Master Blaster which identifies the communication characteristics of a botmaster in botnet transactions and correlates those characteristics with evolutionary changes within botnet communication channels. Our results show the level of involvement of the monitored botmasters within a botnet as well as their general motives. Our system clearly indicates that the investigation of each botmaster and analysis of botmaster interactions are essential to cope with net-centric attacks caused by botnets.
  • Keywords
    computer crime; computer network security; MasterBlaster; botmasters; botnet monitoring; botnet transactions; computer network destruction; hackers; influential players; multilayered analysis system; net centric attacks; networked infrastructures; systems vulnerabilities; Command and control systems; Correlation; Humans; Monitoring; Payloads; Protocols; Silicon; Attribution; Botnet; Botnet Analysis; Botnet Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2011 IEEE 35th Annual
  • Conference_Location
    Munich
  • ISSN
    0730-3157
  • Print_ISBN
    978-1-4577-0544-1
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2011.61
  • Filename
    6032373