Analysis of Non-Gaussian Nature of Network Traffic
Tatsuya Mori, Ryoichi Kawahara, Shozo Naito

TL;DR
This paper investigates the causes of non-Gaussian network traffic by analyzing IP flow statistics, revealing that HTTP flows with small hop counts significantly contribute to this phenomenon.
Contribution
It provides a detailed analysis linking specific application types and hop counts to the non-Gaussian characteristics of network traffic.
Findings
HTTP flows with small hop counts are major contributors
Non-Gaussian traffic is linked to specific application behaviors
Hop count analysis helps understand traffic distribution
Abstract
To study mechanisms that cause the non-Gaussian nature of network traffic, we analyzed IP flow statistics. For greedy flows in particular, we investigated the hop counts between source and destination nodes, and classified applications by the port number. We found that the main flows contributing to the non-Gaussian nature of network traffic were HTTP flows with relatively small hop counts compared with the average hop counts of all flows.
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Complex Network Analysis Techniques · Network Security and Intrusion Detection
