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DTB Project: A Behavioral Model for Detecting Insider Threats

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dc.contributor.author Costa, Paulo C. G.
dc.contributor.author Laskey, Kathryn B.
dc.contributor.author AlGhamdi, Ghazi
dc.contributor.author Barbará, Daniel
dc.contributor.author Shackelford, Thomas
dc.contributor.author Mirza, Sepideh
dc.contributor.author Revankar, Mehul
dc.date.accessioned 2006-01-27T22:36:17Z
dc.date.available 2006-01-27T22:36:17Z
dc.date.issued 2005-05
dc.identifier.citation Costa, Paulo C. G.; Laskey, Kathryn B.; Alghamdi, G.; Barbará, Daniel; Shackelford, Thomas; Mirza, Sepideh; and Revankar, Mehul (2005). DTB Project: A Behavioral Model for Detecting Insider Threats. 2005 International Conference on Intelligence Analysis. May 2-6, McLean, Virginia, USA. en
dc.identifier.other 03
dc.identifier.uri https://analysis.mitre.org/proceedings/Final_Papers_Files/260_Camera_Ready_Paper.pdf
dc.identifier.uri https://hdl.handle.net/1920/452
dc.description Full paper version en
dc.description.abstract This paper describes the Detection of Threat Behavior (DTB) project, a joint effort being conducted by George Mason University (GMU) and Information Extraction and Transport, Inc. (IET). DTB uses novel approaches for detecting insiders in tightly controlled computing environments. Innovations include a distributed system of dynamically generated document-centric intelligent agents for document control, object oriented hybrid logic-based and probabilistic modeling to characterize and detect illicit insider behaviors, and automated data collection and data mining of the operational environment to continually learn and update the underlying statistical and probabilistic nature of characteristic behaviors. To evaluate the DTB concept, we are conducting a human subjects experiment, which we will also include in our discussion.
dc.description.sponsorship US Navy Advanced Research and Development Activity (ARDA), under contract NBCHC030059, issued by the Department of the Interior. en
dc.format.extent 531502 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher MITRE Corporation en
dc.relation.ispartofseries C4I-05-02
dc.subject multi-entity Bayesian networks (MEBN) en_US
dc.subject threat analysis en_US
dc.subject probabilistic en_US
dc.subject Bayesian en_US
dc.subject intrusion detection en_US
dc.subject counter intelligence en_US
dc.subject document relevance en_US
dc.subject data mining en_US
dc.subject novel methods en_US
dc.subject multi-entity Bayesian networks en_US
dc.subject behavior en_US
dc.subject all source en_US
dc.title DTB Project: A Behavioral Model for Detecting Insider Threats en
dc.type Article en


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