• DocumentCode
    2440897
  • Title

    A Context-Based Detection Framework for Advanced Persistent Threats

  • Author

    Giura, P. ; Wei Wang

  • Author_Institution
    AT&T Security Res. Center, New York, NY, USA
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    69
  • Lastpage
    74
  • Abstract
    Besides a large set of malware categories such as worms and Trojan horses, Advanced Persistent Threat (APT) is another more sophisticated attack entity emerging in the cyber threats environment. In this paper we propose a model of the APT detection problem as well as a methodology to implement it on a generic organization network. From our knowledge, the proposed method is the first to address the problem of modeling an APT and to provide a possible detection framework.
  • Keywords
    invasive software; organisational aspects; APT detection problem; Trojan horses; advanced persistent threats; context-based detection framework; cyber threat environment; generic organization network; malware categories; worms; APT; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Security (CyberSecurity), 2012 International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-0219-4
  • Type

    conf

  • DOI
    10.1109/CyberSecurity.2012.16
  • Filename
    6542528