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Representativeness analysis and possible applications of partial network data flows

Bolanowski M., Paszkiewicz A., Wroński M., Żegleń R.

Measurement Automation Monitoring

2016

Vol. 62, No. 1

29--32

A new approach to statistical analysis of network flows and its possible application to statistical anomaly detection in high bandwidth communication networks are presented in the paper. The whole data stream was divided into smaller flows using Link Aggregation Control Protocol (LACP). A statistical analysis of the resulting flows shows that a single stream separated from the overall network traffic is representative when it comes to statistical anomaly detection. Such an approach allows the reduction of hardware resources needed to detect anomalies, and makes such a detection possible in high traffic communication systems.