Abstract

How to aggregate and reduce duplicated alerts from different Intrusion Detection System (IDS) is one of the most important problems in distributed IDS research area. The article proposed a type of Intrusion Detection Message Exchange Format (IDMEF) alert specification extending the alert class structure of IDMEF data model to universally define the format of the alerts originating from different IDS. In order to efficiently aggregate this new type of IDMEF alerts, the article proposed an improvement to the original algorithm that was based on category and similarity. The prototype of alert aggregation module and IDMEF alert generation module has been implemented on the Snort platform. Experiments on DARPA99 data sets demonstrate the effectiveness of our method.

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