• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Application Traffic Classification using PSS Signature


Recently, network traffic has become more complex and diverse due to the emergence of new applications and services. Therefore, the importance of application-level traffic classification is increasing rapidly, and it has become a very popular research area. Although a lot of methods for traffic classification have been introduced in literature, they have some limitations to achieve an acceptable level of performance in real-time application-level traffic classification. In this paper, we propose a novel application-level traffic classification method using payload size sequence (PSS) signature. The proposed method generates unique PSS signatures for each application using packet order, direction and payload size of the first N packets in a flow, and uses them to classify application traffic. The evaluation shows that this method can classify application traffic easily and quickly with high accuracy rates, over 99.97%. Furthermore, the method can also classify application traffic that uses the same application protocol or is encrypted.


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Cite this article

[IEEE Style]
J. Ham, H. An and M. Kim, "Application Traffic Classification using PSS Signature," KSII Transactions on Internet and Information Systems, vol. 8, no. 7, pp. 2261-2280, 2014. DOI: 10.3837/tiis.2014.07.004.

[ACM Style]
Jae-Hyun Ham, Hyun-Min An, and Myung-Sup Kim. 2014. Application Traffic Classification using PSS Signature. KSII Transactions on Internet and Information Systems, 8, 7, (2014), 2261-2280. DOI: 10.3837/tiis.2014.07.004.