Entropy based discriminators for p2p teletraffic characterization

Authors:
Tao Ban;Shanqing Guo;Masashi Eto;Daisuke Inoue;Koji Nakao
Affiliations:
National Institute of Information and Communications Technology, Tokyo, Japan;National Institute of Information and Communications Technology, Tokyo, Japan;National Institute of Information and Communications Technology, Tokyo, Japan;National Institute of Information and Communications Technology, Tokyo, Japan;National Institute of Information and Communications Technology, Tokyo, Japan
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Year:
2011

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Abstract

Characterization of P2P traffic is an essential step to develop workload models towards capacity planning and cyberthreat countermeasure over P2P networks. In this paper, we present a new scheme for monitoring and characterizing File-Sharing P2P (FSP2P) applications. Featured by both lightweightness and high prediction accuracy, the proposed scheme supports performance tuning between monitoring cost and the system response time, and is adaptable to network environments with different specifications.