• DocumentCode
    3746680
  • Title

    Agent implementation for modeling insider threat

  • Author

    John A. Sokolowski;Catherine M. Banks

  • Author_Institution
    Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, 1030 University Boulevard, Suffolk, 23435, USA
  • fYear
    2015
  • Firstpage
    266
  • Lastpage
    275
  • Abstract
    Insider threat modeling focuses primarily on the individual and the prediction of an insider threat incident. The majority of these models are statistical that tend toward trend-projections using various regression models. The modeling presented in this paper engages an agent-based paradigm that is designed to explore how an agent interacts with other employees and the organization in an environment that grants the agent opportunity and access. This paper continues our research with a discussion of the implementation of the agent´s decision-making in the context of emotional, rational, and social factors affecting agent disposition. We proffer that once the agent´s disposition reaches or exceeds a personal threshold, the agent is disposed to become an active threat. Our refinement of the agent facilitates continued and more rounded discussion to our original research question: “How and when does a predisposed insider make the decision to become an active insider threat?”
  • Keywords
    "Predictive models","Computational modeling","Analytical models","Social factors","Adaptation models","Organizations","Decision making"
  • Publisher
    ieee
  • Conference_Titel
    Winter Simulation Conference (WSC), 2015
  • Electronic_ISBN
    1558-4305
  • Type

    conf

  • DOI
    10.1109/WSC.2015.7408170
  • Filename
    7408170