| Publisher | Association for Computing Machinery | ||
|---|---|---|---|
| Format | 636.3KB PDF | Date added | 27 Oct 2004 |
| Topics | Network Design, Methodology | ||
| Downloads | 55 | ||
Indeed, access to user payload is often rendered impossible by one of these factors, inhibiting trustworthy estimation of P2P traffic growth and dynamics. This paper develops a systematic methodology to identify P2P flows at the transport layer, i.e., based on connection patterns of P2P networks, and without relying on packet payload. It believes the approach is the first method for characterizing P2P traffic using only knowledge of network dynamics rather than any user payload. To evaluate the methodology, authors also develop a payload technique for P2P traffic identification, by reverse engineering and analyzing the nine most popular P2P protocols, and demonstrate its efficacy with the discovery of P2P protocols in the traces that were previously unknown to the people.
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