Visible to the public Scenarios using situation awareness in a simulation environment for eliciting insider threat behavior

TitleScenarios using situation awareness in a simulation environment for eliciting insider threat behavior
Publication TypeConference Paper
Year of Publication2017
AuthorsReinerman-Jones, L., Matthews, G., Wohleber, R., Ortiz, E.
Conference Name2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)
ISBN Number978-1-5090-6380-2
Keywordsactive indicators, AI, Atmospheric measurements, Collaboration, cybersecurity, deception, Decision support systems, Gaze tracking, Government, Human Behavior, human factors, insider threat, insider threat behavior, insider threats, IT behavior, Metrics, Particle measurements, policy-based governance, pubcrawl, Resiliency, security of data, simulation, simulation environment, situation awareness, Stress, usability
Abstract

An important topic in cybersecurity is validating Active Indicators (AI), which are stimuli that can be implemented in systems to trigger responses from individuals who might or might not be Insider Threats (ITs). The way in which a person responds to the AI is being validated for identifying a potential threat and a non-threat. In order to execute this validation process, it is important to create a paradigm that allows manipulation of AIs for measuring response. The scenarios are posed in a manner that require participants to be situationally aware that they are being monitored and have to act deceptively. In particular, manipulations in the environment should no differences between conditions relative to immersion and ease of use, but the narrative should be the driving force behind non-deceptive and IT responses. The success of the narrative and the simulation environment to induce such behaviors is determined by immersion, usability, and stress response questionnaires, and performance. Initial results of the feasibility to use a narrative reliant upon situation awareness of monitoring and evasion are discussed.

URLhttps://ieeexplore.ieee.org/document/7929611
DOI10.1109/COGSIMA.2017.7929611
Citation Keyreinerman-jones_scenarios_2017