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Fuzzy Clustering Based Approach to Traffic Classification and Anomaly Detection

Authors:
Julija Asmuss
Gunars Lauks

Keywords: fuzzy clustering; fuzzy transform; traffic classification; anomaly detection

Abstract:
In this work, we develop network traffic classification and anomaly detection methods based on traffic time series analysis using fuzzy clustering. We compare four fuzzy clustering techniques using different dimensionality reduction methods and validity indices to work out an effective anomaly detection algorithm. The effectiveness of the proposed classification system is evaluated on traffic data with and without traffic attack components.

Pages: 78 to 80

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-423-7

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015