Title :
Identifying At-Risk Employees: Modeling Psychosocial Precursors of Potential Insider Threats
Author :
Greitzer, Frank L. ; Kangas, Lars J. ; Noonan, Christine F. ; Dalton, Angela C. ; Hohimer, Ryan E.
Author_Institution :
Pacific NW Nat. Lab., Richland, WA, USA
Abstract :
In many insider crimes, managers and other coworkers observed that the offenders had exhibited signs of stress, disgruntlement, or other issues, but no alarms were raised. Barriers to using such psychosocial indicators include the inability to recognize the signs and the failure to record the behaviors so that they can be assessed. A psychosocial model was developed to assess an employee´s behavior associated with an increased risk of insider abuse. The model is based on case studies and research literature on factors/correlates associated with precursor behavioral manifestations of individuals committing insider crimes. To test the model´s agreement with human resources and management professionals, we conducted an experiment with positive results. If implemented in an operational setting, the model would be part of a set of management tools for employee assessment to identify employees who pose a greater insider threat.
Keywords :
computer crime; employee welfare; industrial psychology; occupational stress; personnel; at-risk employees identification; behavioral manifestations; employee assessment; employee behavior; human resources; insider abuse; insider crimes; management professionals; management tools; operational setting; potential insider threats; psychosocial indicators; psychosocial model; psychosocial precursors; sign recognition; Analytical models; Laboratories; Personnel; Predictive models; Random variables; Sorting; Stress; behavioral modeling; insider threat; predictive analytics;
Conference_Titel :
System Science (HICSS), 2012 45th Hawaii International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4577-1925-7
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2012.309