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2018 | OriginalPaper | Chapter

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

Authors : Manuel Grob, Martin Kappes, Inmaculada Medina-Bulo

Published in: Case-Based Reasoning Research and Development

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Tangent Recognition and Anomaly Pruning to TRAP Off-Topic Questions in Conversational Case-Based Dialogues

next chapter AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem

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Title: Combining Case-Based Reasoning with Complex Event Processing for Network Traffic Classification
Authors: Manuel Grob
Martin Kappes
Inmaculada Medina-Bulo
Publisher: Springer International Publishing
Book: Case-Based Reasoning Research and Development
Print ISBN: 978-3-030-01080-5

Electronic ISBN: 978-3-030-01081-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-01081-2_8

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