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technical publications

peer-reviewed journal articles... conference proceedings... dissertations... technical reports... trade feature articles... book chapters

white papers

discussion documents... working white papers... media backgrounders... other business papers


full books by or edited by PARC authors... but not individual book chapters, which appear in technical publications

information sheets

fact sheets... brochures... product/ offering briefs... data/ spec sheets... application briefs/ notes... flyers

case studies

a partial list of public case studies due to the confidentiality of our client relationships and work


technical videos...and link to more current videos on Slideshare

demos & tools

web-based services, alpha- and beta-stage software tools, prototypes, proof-of-concept, more



Proactive insider threat detection through graph learning and psychological context
by Oliver Brdiczka, Julia Liu, Bob Price, Jianqiang Shen, Richard Chow, Eugene Bart and Nic Ducheneaut

While there are a number of existing tools that can accurately identify known attacks, these are reactively as opposed to proactively enforced. Furthermore, the tools may be eluded by previously unseen adversarial behaviors. This paper proposes an approach that combines Structural Anomaly Detection (graph analysis, dynamic tracking, and machine learning on large-scale social and information networks) and Psychological Profiling (constructed dynamically from behavioral patterns of individuals) to detect anomalies and prevent insider threats.