A Knowledge-Based Approach To Intrusion Detection Modeling
Links to Fileshttps://ieeexplore.ieee.org/document/6227687
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Type of Work7 pages
conference papers and proceedings preprints
Citation of Original PublicationSumit 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.2012.26
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© 2012 IEEE
UMBC Ebiquity Research Group
Current 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.