SOFIT: Sociotechnical and Organizational Factors for Insider Threat

被引:14
|
作者
Greitzer, Frank L. [1 ]
Purl, Justin [2 ]
Leong, Yung Mei
Becker, D. E. [2 ]
机构
[1] PsyberAnalytix, Richland, WA 99352 USA
[2] Human Resources Res Org, Alexandria, VA USA
关键词
insider threat ontology; sociotechnical indicators; knowledge modeling; expert knowledge elicitation; TRAITS; STATES; PERSONALITY; VIOLENCE; STRESS; RISK;
D O I
10.1109/SPW.2018.00035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Human behavioral factors have been insufficiently represented in structured models (e.g., ontology frameworks) of insider threat risk. This paper describes the design and development of a structured model that emphasizes individual and organizational sociotechnical factors while incorporating technical indicators from previous work. We compare this model with previous research and describe a use case to demonstrate how the model can be applied as an ontology. We also summarize results of an expert knowledge elicitation study to reveal relationships among indicators and to examine several quantitative models for assessing threat of cases comprising multiple indicators.
引用
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页码:197 / 206
页数:10
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