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Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks
Coral J Dando1, Paul J Taylor2, Tarek Menacere2
1Department of Psychology, University of Westminster, London.
Human Factors
|March 7, 2022
Summary
A new remote, computer-mediated triage system called InSort can help identify persons of interest after insider attacks. InSort analysis of textual responses revealed insiders took longer to answer questions and provided less consistent information.
Area of Science:
- Cybersecurity
- Cognitive Psychology
- Investigative Science
Background:
- Insider attacks threaten organizational confidentiality and integrity.
- Globalized and remote workforces increase the challenge of investigating insider threats.
- Cognitive demands of deception offer opportunities for detection.
Purpose of the Study:
- To develop and investigate the potential of InSort, a remote, synchronous, text-based triage system.
- To identify persons of interest quickly following an insider attack.
Main Methods:
- Developed InSort based on cognitive approaches to deception and textual deception cues.
- Conducted a 6-hour immersive simulation with participants investigating organized crime.
- 25% of participants were covertly incentivized to act as insiders.
Main Results:
- Insiders responded more slowly to investigation-relevant questions.
- Insider responses were less consistent with known behaviors and evidence.
- Insider textual responses were impoverished compared to non-insiders.
Conclusions:
- InSort shows potential to expedite information gathering in insider attack investigations.
- InSort is adaptable for various environments and events.
- Technology can support complex, time-critical investigations.
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