Published: 2004 Mai
Buchtitel: International Conference on Autonomic Computing (ICAC-04)
Correlation engines are autonomic computing systems that perform the automated, continuous analysis of enterprise-wide event data based on user-defined, configurable rules in order to detect threats and protect a system from them. In this paper we discuss the run-time advantages of using ontologies as a conceptual backbone for describing knowledge processed by correlation engines.
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