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A Knowledge-Based Approach To Intrusion Detection Modeling

Authors: Sumit More, M. Lisa Mathews, Anupam Joshi, and Tim Finin

Book Title: Proceedings of the IEEE Workshop on Semantic Computing and Security

Date: May 24, 2012

Abstract: 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.

Type: InProceedings

Publisher: IEEE Computer Society

Tags: security, cybersecurity, intrusion detection, ontology

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Related Projects:

Past Project

 Semantic Situational Awareness for Intrusion Detection.