A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment
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Date
2005-07
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Citation of Original Publication
Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Gundordu, John Jantos, Todd Hughes, Larry Lefkowitz, Michael Witbrock, Doug Lenat, Erik Larson, A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment, 17th Innovative Applications of Artificial Intelligence Conference (IAAI), Pittsburgh, Pennsylvania, July 2005.
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This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
Abstract
CycSecureTM is a network risk assessment and network monitoring application that relies on knowledge-based artificial intelligence technologies to improve on traditional network vulnerability assessment. CycSecure integrates public reports of software faults from online databases, data gathered automatically from computers on a network and hand-ontologized information about computers and computer networks. This information is stored in the Cyc® knowledge base (KB) and reasoned about by the Cyc inference engine and planner to provide detailed analyses of the security (and vulnerability) of networks.