Toward an Insider Threat Education Platform: A Theoretical Literature Review

Insider threats (InTs) within organizations are small in number but have a disproportionate ability to damage systems, information, and infrastructure. Existing InT research studies the problem from psychological, technical, and educational perspectives. Proposed theories include research on psychological indicators, machine learning, user behavioral log analysis, and educational methods to teach employees recognition and mitigation techniques. Because InTs are a human problem, training methods that address InT detection from a behavioral perspective are critical. While numerous technological and psychological theories exist on detection, prevention, and mitigation, few training methods prioritize psychological indicators. This literature review studied peer-reviewed, InT research organized by subtopic and extracted critical theories from psychological, technical, and educational disciplines. In doing so, this is the first study to comprehensively organize research across all three approaches in a manner which properly informs the development of an InT education platform.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icca62237.2024.10928083
Citations
1
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.78
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article

Toward an Insider Threat Education Platform: A Theoretical Literature Review

John D. Hastings, Haywood Gelman, David Kenley, Eleanor Loiacono
1 citations
Information and Cyber Security
0.78
article

Toward an Insider Threat Education Platform: A Theoretical Literature Review

John D. Hastings, Haywood Gelman, David Kenley, Eleanor Loiacono
article en
1 citations

Abstract

Insider threats (InTs) within organizations are small in number but have a disproportionate ability to damage systems, information, and infrastructure. Existing InT research studies the problem from psychological, technical, and educational perspectives. Proposed theories include research on psychological indicators, machine learning, user behavioral log analysis, and educational methods to teach employees recognition and mitigation techniques. Because InTs are a human problem, training methods that address InT detection from a behavioral perspective are critical. While numerous technological and psychological theories exist on detection, prevention, and mitigation, few training methods prioritize psychological indicators. This literature review studied peer-reviewed, InT research organized by subtopic and extracted critical theories from psychological, technical, and educational disciplines. In doing so, this is the first study to comprehensively organize research across all three approaches in a manner which properly informs the development of an InT education platform.

Dakota State University (US), William & Mary (US), Williams (United States) (US)
Quality Education
Openalex Percentile: Top 17%
Information and Cyber Security
0.78
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