Network traffic classification for anomaly detection fuzzy clustering based approach
Jūlija Asmuss, Gunars Lauks · 2015
In this paper we develop network traffic classification and anomaly detection methods based on traffic time series analysis using fuzzy clustering technique. The effectiveness of fuzzy and possibilistic algorithms is compared on generated traffic data with and without traffic attack components.