Efficient application identification and the temporal and spatial stability of classification schema
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications
Reference35 articles.
1. L. Bernaille, R. Teixeira, K. Salamatian, Early application identification, in: Proceedings of the 2006 ACM Conference on Emerging Network Experiment and Technology (CoNEXT’06), December 2006.
2. Manuel Crotti, Maurizio Dusi, Francesco Gringoli, Luca Salgarelli, Traffic classification through simple statistical fingerprinting, SIGCOMM Computer Communication Review, January 2007.
3. H. Dahmouni, S. Vaton, D. Rosse, A Markovian signature-based approach to IP traffic classification, in: Proceedings of the 2006 SIGCOMM Workshop on Mining Network Data (MineNet’07), June 2007.
4. J. Erman, M. Arlitt, A. Mahanti, Traffic classification using clustering algorithms, in: Proceedings of the 2006 SIGCOMM Workshop on Mining Network Data (MineNet’06), September 2006.
5. Andrew W. Moore, Denis Zuev, Internet traffic classification using Bayesian analysis techniques, in: Proceedings of the 2005 ACM SIGMETRICS, 2005, pp. 50–60.
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