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Browsing Papers and Publications, Center of Excellence in Command, Control, Communications, and Intelligence by Title

Browsing Papers and Publications, Center of Excellence in Command, Control, Communications, and Intelligence by Title

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  • Detecting Threatening Behavior Using Bayesian Networks 
    AlGhamdi, Ghazi; Laskey, Kathryn B.; Wang, Xun; Barbará, Daniel; Shackelford, Thomas; Wright, Edward J.; Fitzgerald, Julie (2006-03-06)
    This paper presents an innovative use of human behavior models for detecting insider threats to information systems. While most work in information security concerns detecting and responding to intruders, violations of ...
  • DTB Project: A Behavioral Model for Detecting Insider Threats 
    Costa, Paulo C. G.; Laskey, Kathryn B.; AlGhamdi, Ghazi; Barbará, Daniel; Shackelford, Thomas; Mirza, Sepideh; Revankar, Mehul (MITRE Corporation, 2005-05)
    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 ...
  • Evaluation of Geospatial Digital Support Products 
    Powell, Walter A.; Laskey, Kathryn Blackmond; Adelman, Leonard; Johnson, Ryan; Dorgan, Shiloh; Hieb, Micheal; Braswell, Kenneth; Powers, Michael (2010-04-20)
    Geospatial Reasoning has been an essential aspect of military planning since the invention of cartography. Geospatial Digital Support Products (GDSPs) are ubiquitous within current military forces as well as civil and ...
  • An Investigation of Machine Learning Techniques for Use in Training Agents for Military Simulations 
    Hieb, Michael R.; Pullen, J. Mark (2006-05-05)
    Agents assist users with performing tasks in computer-based applications. The current practice of building an agent involves a developer programming it for each task it must perform, but agents constructed in this manner ...
  • MEBN Logic: A Key Enabler for Network Centric Warfare 
    Costa, Paulo C. G.; Laskey, Kathryn B.; Takikawa, Masami; Pool, Michael; Fung, Francis; Wright, Edward J. (CCRP Publications, 2005-06)
    Among the lessons learned from recent conflicts stands the dramatic change in the very way wars are fought. There are no more clear-cut enemies or allies; rules of engagement have become increasingly fuzzy; guerrilla and ...
  • MEBN: A Logic for Open-World Probabilistic Reasoning 
    Laskey, Kathryn B. (2006-02-03)
    Uncertainty is a fundamental and irreducible aspect of our knowledge about the world. Probability is the most well-understood and widely applied logic for computational scientific reasoning under uncertainty. As theory and ...
  • Modeling Insider Behavior Using Multi-Entity Bayesian Networks 
    AlGhamdi, Ghazi; Laskey, Kathryn B.; Wright, Edward J.; Barbará, Daniel; Chang, K.C. (2006-03-06)
    This paper tackles a key aspect of the information security problem: modeling the behavior of insider threats. The specific problem addressed by this paper is the identification of malicious insider behavior in trusted ...
  • Multi-Entity Bayesian Networks without Multi-Tears 
    Costa, Paulo C. G.; Laskey, Kathryn B. (2006-01-27)
    An introduction is provided to Multi-Entity Bayesian Networks (MEBN), a logic system that integrates First Order Logic (FOL) with Bayesian probability theory. MEBN extends ordinary Bayesian networks to allow representation ...
  • Of Starships and Klingons: Bayesian Logic for the 23rd Century 
    Laskey, Kathryn B.; Costa, Paulo C. G. (AUAI Press, 2005-07)
    Intelligent systems in an open world must reason about many interacting entities related to each other in diverse ways and having uncertain features and relationships. Traditional probabilistic languages lack the expressive ...
  • PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support 
    Fung, Francis; Laskey, Kathryn B.; Pool, Michael; Takikawa, Masami; Wright, Edward J. (2006-02-06)
    Decision support and information fusion in complex domains requires reasoning about inherently uncertain properties of and relationships among varied and often unknown number of entities interacting in differing and often ...
  • PR-OWL: A Bayesian Framework for the Semantic Web 
    Costa, Paulo C. G.; Laskey, Kathryn B.; Laskey, Kenneth J. (2005-11-07)
    This paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty. This not only hinders the realization of the original ...
  • PR-OWL: A Framework for Bayesian Ontologies 
    Costa, Paulo C.G.; Laskey, Kathryn B. (IOS Press, 2006-11)
    Across a wide range of domains, there is an urgent need for a wellfounded approach to incorporating uncertain and incomplete knowledge into formal domain ontologies. Although this subject is receiving increasing ...
  • Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services 
    Costa, Paulo C. G.; Laskey, Kathryn B.; Laskey, Kenneth J. (Information Extraction & Transport, Inc. (IET), 2006-11)
    Service Oriented Architecture (SOA) is a key technology to support interoperability among data and processing resources. Semantic interoperability requires mapping between vocabularies of independently developed resources, a ...
  • A Proposal for a W3C XG on Uncertainty Reasoning for the World Wide Web 
    Laskey, Kenneth J.; Costa, Paulo C. G.; Laskey, Kathryn B. (Information Extraction & Transport, Inc. (IET), 2006-11)
    The Semantic Web envisions effortless cooperation between humans and computers, seamless interoperability and information exchange among web applications, and rapid and accurate identification and invocation of appropriate ...

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