Combining Case-Based Reasoning with Complex Event Processing for Network Traffic Classification.

In this paper we present an approach for combining Case-based Reasoning (CBR) and Complex Event Processing (CEP) in order to classify network traffic. We show that this combination has a high potential to improve existing classification methods by enriching the stream processing techniques in CEP with the capability of historic case reuse in CBR by continuously analysing the application layer data of network communication.