Track: Technology for Developing Regions
Paper Title:
Identifying and Discriminating Between Web and Peer-to-Peer Traffic
in the Network Core
Authors:
Abstract:
Traffic classification is the ability to identify and categorize
network traffic by application type. In this paper, we consider the
problem of traffic classification in the network core.
Classification at the core is challenging because only partial
information of the flows and their contributors is available. We
address this problem by developing and evaluating a classification
framework that can classify a flow using only unidirectional flow
information. We validated this approach using recent full-payload
packet traces that we collected and pre-classified to establish a
``base truth''. From our evaluation, we find that flow statistics
along the server-to-client path of a TCP connection provides higher
classification accuracy than flow statistics along the
client-to-server path. Because collection of the server-to-client
flow statistics may not always be feasible, we developed and
verified an algorithm that can estimate the missing statistics from
a unidirectional packet trace.
