Scenarios using situation awareness in a simulation environment for eliciting insider threat behavior
Title | Scenarios using situation awareness in a simulation environment for eliciting insider threat behavior |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Reinerman-Jones, L., Matthews, G., Wohleber, R., Ortiz, E. |
Conference Name | 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) |
ISBN Number | 978-1-5090-6380-2 |
Keywords | active 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. |
URL | https://ieeexplore.ieee.org/document/7929611 |
DOI | 10.1109/COGSIMA.2017.7929611 |
Citation Key | reinerman-jones_scenarios_2017 |
- Insider Threats
- usability
- Stress
- Situation Awareness
- simulation environment
- simulation
- security of data
- Resiliency
- pubcrawl
- policy-based governance
- Particle measurements
- Metrics
- IT behavior
- active indicators
- insider threat behavior
- insider threat
- Human Factors
- Human behavior
- Government
- gaze tracking
- Decision support systems
- deception
- Cybersecurity
- collaboration
- Atmospheric measurements
- AI