Proceedings of the IEEE Workshop on Semantic Computing and Security

A Knowledge-Based Approach To Intrusion Detection Modeling

, , , and

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.

  • 204245 bytes

cybersecurity, intrusion detection, ontology, security


IEEE Computer Society

Downloads: 2276 downloads

UMBC ebiquity