Stochastic Traffic Identification for Security Management: eDonkey Protocol as a Case Study
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-38631-2_1
Reference17 articles.
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2. Chen, H., Zhou, X., You, F., Wang, C.: Study of Double-Characteristics-Based SVM Method for P2P Traffic Identification. In: 2010 Second International Conference on Networks Security Wireless Communications and Trusted Computing (NSWCTC), vol. 1, pp. 202–205 (April 2010)
3. Callado, A., Kamienski, C., Szabo, G., Gero, B., Kelner, J., Fernandes, S., Sadok, D.: A Survey on Internet Traffic Identification. IEEE Communications Surveys & Tutorials 11(3), 37–52 (2009)
4. Dainotti, A., Pescape, A., Claffy, K.: Issues and future directions in traffic classification. IEEE Network 26(1), 35–40 (2012)
5. Dahmouni, H., Vaton, S., Rossé, D.: A markovian signature-based approach to IP traffic classification. In: Proceedings of the 3rd Annual ACM Workshop on Mining Network Data, MineNet 2007, pp. 29–34. ACM, New York (2007)
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