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网络流量分类方法研究 被引量:5

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摘要 网络流量分类对于网络的服务质量保证、安全管控和运营管理等具有重要意义。文章追踪分析了网络流量分类技术不断演进发展的原因,给出了网络流量分类技术的正确率等评价指标,分析并描述了目前主流的网络流量分类技术,文章最后指出了网络流量分类技术面临的问题和挑战。
作者 镇佳 朱国胜
出处 《信息通信》 2017年第8期171-173,共3页 Information & Communications
基金 赛尔网络下一代互联网技术创新项目NGII20150101)
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  • 1熊刚,孟姣,曹自刚,王勇,郭莉,方滨兴.网络流量分类研究进展与展望[J].集成技术,2012,1(1):32-42. 被引量:23
  • 2Moore AW, Zuev D. Internet traffic classification using Bayesian analysis techniques. In: Proc. of the 2005 ACM SIGMETRICS Int'l Conf. on Measurement and Modeling of Computer Systems, Banff, 2005. 50-60. http://www.cl.cam.ac.uk/-awm22 /publications/moore2005internet.pdf. 被引量:1
  • 3Madhukar A, Williamson C. A longitudinal study of P2P traffic classification. In: Proc. of the 14th IEEE Int'l Syrup. on Modeling, Analysis, and Simulation. Monterey, 2006. http://ieeexplore.ieee.org/xpl/ffeeabs_all.jsp?arnumber=1698549. 被引量:1
  • 4Moore AW, Papagiannaki K. Toward the accurate identification of network applications. In: Dovrolis C, ed. Proc. of the PAM 2005. LNCS 3431, Heidelberg: Springer-Verlag, 2005.41-54. 被引量:1
  • 5Karagiannis T, Papagiannaki K, Faloutsos M. BLINC: Multilevel traffic classification in the dark. In: Proc. of the ACM SIGCOMM. Philadelphia, 2005. 229-240. http://conferences.sigcomm.org/sigcomm/2005/paper-KarPap.pdf. 被引量:1
  • 6Roughan M, Sen S, Spatscheck O, Dutfield N. Class-of-Service mapping for QoS: A statistical signature-based approach to IP traffic classification. In: Proc. of the ACM SIGCOMM Internet Measurement Conf. Taormina, 2004. 135-148. http://www.imconf.net/imc-2004/papers/p 135-roughan.pdf. 被引量:1
  • 7Zuev D, Moore AW. Traffic classification using a statistical approach. In: Dovrolis C, ed. Proc. of the PAM 2005. LNCS 3431, Heidelberg: Springer-Verlag, 2005. 321-324. 被引量:1
  • 8Nguyen T, Armitage G. Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks. In: Proc. of the 31 st IEEE LCN 2006. Tampa, 2006. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4116573. 被引量:1
  • 9Eerman J, Mahanti A, Arlitt M. Internct traffic identification using machine learning techniques. In: Proc. of the 49th IEEE GLOBECOM. San Francisco, 2006. http://pages.cpsc.ucalgary.ca/-mahanti/papers/globecom06.pdf. 被引量:1
  • 10Erman J, Arlitt M, Mahanti A. Traffic classification using clustering algorithms. In: Proc. of the ACM SIGCOMM Workshop on Mining Network Data (MineNet). Pisa, 2006. http://conferences.sigcomm.org/sigcomm/2006/papers/minenet-01.pdf. 被引量:1

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