A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment

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dc.contributor.authorShepard, Blake
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorFraser, C. Bruce
dc.contributor.authorWechtenhiser, William
dc.contributor.authorCrabbe, David
dc.contributor.authorGüngördü, Zelal
dc.contributor.authorJantos, John
dc.contributor.authorHughes, Todd
dc.contributor.authorLefkowitz, Larry
dc.contributor.authorWitbrock, Michael
dc.contributor.authorLenat, Doug
dc.contributor.authorLarson, Erik
dc.date.accessioned2018-09-06T17:39:44Z
dc.date.available2018-09-06T17:39:44Z
dc.date.issued2005-07
dc.description17th Innovative Applications of Artificial Intelligence Conference (IAAI), Pittsburgh, Pennsylvania, July 2005.
dc.description.abstractCycSecureTM 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.en
dc.description.urihttp://iral.cs.umbc.edu/Pubs/CycSecure.pdf
dc.format.extent6 PAGESen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M2VD6P80P
dc.identifier.citationBlake 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.en
dc.identifier.urihttp://hdl.handle.net/11603/11247
dc.language.isoenen
dc.publisherAssociation for the Advancement of Articifical Intelligence (AAAI)en
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.rightsThis 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.
dc.subjectnetwork risk assessmenten
dc.subjectnetwork monitoringen
dc.subjectCyc® knowledge base (KB)en
dc.subjectanalyses of the security of networks.en
dc.subjectInteractive Robotics and Language Laben
dc.titleA Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessmenten
dc.typeTexten

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