• DocumentCode
    2449722
  • Title

    Decision Support Procedure in the Insider Threat Domain

  • Author

    Murphy, J.P. ; Berk, V.H. ; Gregorio-de Souza, I.

  • Author_Institution
    Thayer Sch. of Eng., Dartmouth Coll., Hanover, NH, USA
  • fYear
    2012
  • fDate
    24-25 May 2012
  • Firstpage
    159
  • Lastpage
    163
  • Abstract
    Effective mitigation of the Insider Threat in complex organizations is not simply a matter of ´fire-and-forget´. Thorough routines are required to minimize the chances of malicious insiders going undetected. While detecting policy violations and signatures of known-bad behavior are essential to a broader threat mitigation strategy, it is clear that behavior-based measurements, including anomaly detection and social network analysis, will be crucial to detecting technically savvy malicious users with legitimate network and data access. Due to the large number of potentially malicious behaviors users may display, the main thrust of detection falls in the hands of an analyst capable of correlating these behaviors. Based on our BANDIT system, we offer a 10-step analyst program, which offers a common-sense approach to limiting the damage a malicious trusted user can achieve.
  • Keywords
    decision support systems; security of data; social networking (online); BANDIT system; anomaly detection; behavior based measurements; complex organizations; decision support procedure; fire-and-forget matter; insider threat domain; malicious insiders; malicious users; policy violations; social network analysis; threat mitigation strategy; Context; Detectors; Documentation; Measurement; Organizations; Security; behavioral anomaly detection; insider threat; risk mitigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy Workshops (SPW), 2012 IEEE Symposium on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4673-2157-0
  • Type

    conf

  • DOI
    10.1109/SPW.2012.17
  • Filename
    6227700