DTB Project: A Behavioral Model for Detecting Insider Threats

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dc.contributor.authorCosta, Paulo C. G.
dc.contributor.authorLaskey, Kathryn B.
dc.contributor.authorAlGhamdi, Ghazi
dc.contributor.authorBarbará, Daniel
dc.contributor.authorShackelford, Thomas
dc.contributor.authorMirza, Sepideh
dc.contributor.authorRevankar, Mehul
dc.date.accessioned2006-01-27T22:36:17Z
dc.date.available2006-01-27T22:36:17Z
dc.date.issued2005-05
dc.descriptionFull paper versionen
dc.description.abstractThis 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.sponsorshipUS Navy Advanced Research and Development Activity (ARDA), under contract NBCHC030059, issued by the Department of the Interior.en
dc.format.extent531502 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationCosta, 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.
dc.identifier.other03
dc.identifier.urihttps://analysis.mitre.org/proceedings/Final_Papers_Files/260_Camera_Ready_Paper.pdf
dc.identifier.urihttps://hdl.handle.net/1920/452
dc.language.isoen_US
dc.publisherMITRE Corporationen
dc.relation.ispartofseriesC4I-05-02
dc.subjectMulti-entity Bayesian networks (MEBN)
dc.subjectThreat analysis
dc.subjectProbabilistic
dc.subjectBayesian
dc.subjectIntrusion detection
dc.subjectCounter intelligence
dc.subjectDocument relevance
dc.subjectData mining
dc.subjectNovel methods
dc.subjectMulti-entity Bayesian networks
dc.subjectBehavior
dc.subjectAll source
dc.titleDTB Project: A Behavioral Model for Detecting Insider Threats
dc.typeArticle

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