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  1. Proceedings of the Symposium on Agent-Directed Simulation (ADS '15)
  2. An agent-based approach to modeling insider threat
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An agent-based approach to modeling insider threat

Content Provider ACM Digital Library
Author Banks, Catherine M. Sokolowski, John A.
Abstract Insider threat research and modeling has focused on the individual and the prediction of an insider threat incident. The majority of these models are statistical with inputs from psychological and social (work environment) assessments. These statistical analyses tend toward trend-projections using various regression models. The modeling presented in this paper implements the agent-based paradigm that is designed to explore the primary elements of an insider threat. Specifically, the insider (represented as an agent) interacts with other employees and the organization (also represented as agents) in an environment that provides the opportunity and necessary access to become an insider threat. The specific research question we seek to answer is "How and when does an insider that is pre-disposed to being a threat make the decision to become an active insider threat?" The model met the research objective: capture insider threat behavior given the set of assumptions governing agent behavior.
Starting Page 36
Ending Page 41
Page Count 6
File Format PDF
ISBN 9781510800984
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-04-12
Publisher Place San Diego
Access Restriction Subscribed
Subject Keyword Insider threat Agent_zero Cert Pre-disposition
Content Type Text
Resource Type Article
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