An online game simulation environment for detecting potential deceptive insiders

This poster presents an initial attempt to simulate a corporate computing environment that can uncover hidden intent within information exchange and interaction among online social actors. The lawful interception approach is deployed in the lab to capture data and information among social actors in online environments. We designed and simulated insider threat scenarios in a controlled lab environment. Captured data is being analyzed with content analysis, LIWC (Linguistic Inquiry and Word Count) toolkits. Our preliminary results shows that deceptive actors tend of use different patterns of communication behavior that can be identified.