NDLI: Using dynamic models to support inferences of insider threat risk

Content Provider	SpringerLink
Author	Sticha, Paul J. Axelrad, Elise T.
Copyright Year	2016
Abstract	Two modeling approaches were integrated to address the problem of predicting the risk of an attack by a particular insider. We present a system dynamics model that incorporates psychological factors including personality, attitude and counterproductive behaviors to simulate the pathway to insider attack. Multiple runs of the model that sampled the population of possible personalities under different conditions resulted in simulated cases representing a wide range of employees of an organization. We then structured a Bayesian belief network to predict attack risk, incorporating important variables from the system dynamics model and learning the conditional probabilities from the simulated cases. Three scenarios were considered for comparison of risk indicators: An average employee (i.e., one who scores at the mean of a number of personality variables), an openly disgruntled malicious insider, and a disgruntled malicious insider who decides to conceal bad behaviors. The counterintuitive result is that employees who act out less than expected, given their particular level of disgruntlement, can present a greater risk of being malicious than other employees who exhibit a higher level of counterproductive behavior. This result should be tempered, however, considering the limited grounding of some of the model parameters. Nevertheless, this approach to integrating system dynamics modeling and Bayesian belief networks to address an insider threat problem demonstrates the potential for powerful prediction and detection capability in support of insider threat risk mitigation.
Starting Page	350
Ending Page	381
Page Count	32
File Format	PDF
ISSN	1381298X
Journal	Computational and Mathematical Organization Theory
Volume Number	22
Issue Number	3
e-ISSN	15729346
Language	English
Publisher	Springer US
Publisher Date	2016-01-18
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Insider threat Insider sabotage System dynamics Bayesian belief network Dynamic simulation Management Operation Research/Decision Theory Artificial Intelligence (incl. Robotics) Sociology Methodology of the Social Sciences
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Computer Science Decision Sciences Computational Mathematics Modeling and Simulation

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