Hierarchical summarization techniques for network traffic
Mahmood, A. N., Leckie, C., Islam, Md. Rafiqul and Tari, Z. 2011, Hierarchical summarization techniques for network traffic, in ICIEA 2011 : Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 2474-2479.
In today’s high speed networks it is becoming increasingly challenging for network managers to understand the nature of the traffic that is carried in their network. A major problem for traffic analysis in this context is how to extract a concise yet accurate summary of the relevant aggregate traffic flows that are present in network traces. In this paper, we present two summarization techniques to minimize the size of the traffic flow report that is generated by a hierarchical cluster analysis tool. By analyzing the accuracy and compaction gain of our approach on a standard benchmark dataset, we demonstrate that our approach achieves more accurate summaries than those of an existing tool that is based on frequent itemset mining.
Field of Research
080503 Networking and Communications
Socio Economic Objective
890206 Internet Hosting Services (incl. Application Hosting Services)