A Knowledge-Based Approach To Intrusion Detection Modeling

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dc.contributor.authorMore, Sumit
dc.contributor.authorMathews, M. Lisa
dc.contributor.authorJoshi, Anupam
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-14T17:17:29Z
dc.date.available2018-11-14T17:17:29Z
dc.date.issued2012-05-24
dc.descriptionProceedings of the IEEE Workshop on Semantic Computing and Securityen
dc.description.abstractCurrent state of the art intrusion detection and prevention systems (IDPS) are signature-based systems that detect threats and vulnerabilities by cross-referencing the threat or vulnerability signatures in their databases. These systems are incapable of taking advantage of heterogeneous data sources for analysis of system activities for threat detection. This work presents a situation-aware intrusion detection model that integrates these heterogeneous data sources and build a semantically rich knowledge-base to detect cyber threats/vulnerabilities.en
dc.description.sponsorshipThis work was partially supported by a gift from Northrop Grumman Corporation and grant from Air Force Office of Scientific Research.en
dc.description.urihttps://ieeexplore.ieee.org/document/6227687en
dc.format.extent7 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M2NC5SH1Z
dc.identifier.citationSumit More, M. Lisa Mathews, Anupam Joshi, and Tim Finin, A Knowledge-Based Approach To Intrusion Detection Modeling, Proceedings of the IEEE Workshop on Semantic Computing and Security, 2012, DOI: 10.1109/SPW.2012.26en
dc.identifier.uri10.1109/SPW.2012.26
dc.identifier.urihttp://hdl.handle.net/11603/11976
dc.language.isoenen
dc.publisherIEEEen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2012 IEEE
dc.subjectsecurityen
dc.subjectvulnerabilityen
dc.subjectintrusion detectionen
dc.subjectinformation extractionen
dc.subjectontologyen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleA Knowledge-Based Approach To Intrusion Detection Modelingen
dc.typeTexten

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