document: Identifying and discriminating between web and peer-to-peer traffic in the network core 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 about the flows and their contributors is available . We address this problem by developing a framework that can classify a flow using only unidirectional flow information . We evaluated this approach using recent packet traces that we collected and pre-classified to establish a `` base truth '' . From our evaluation , we find that flow statistics for the server-to-client direction of a TCP connection provide greater classification accuracy than the flow statistics for the client-to-server direction . Because collection of the server-to-client flow statistics may not always be feasible , we developed and validated an algorithm that can estimate the missing statistics froma unidirectional packet trace .
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