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基于新型网络结构流量识别方法研究 被引量:1

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摘要 近年来网络流量识别作为一种新兴的信息技术飞速发展,成为了未来网络安全的重要研究方向。从新型网络流量识别技术的优缺点,以及未来的发展方向进行了详细的阐述,并给出一些建议,促进网络安全技术快速发展。
作者 黄石平
出处 《电脑编程技巧与维护》 2018年第4期140-141,167,共3页 Computer Programming Skills & Maintenance
基金 国家自然科学基金(青年基金)81302512多区域临床试验设计及统计方法研究 基于熵的公共卫生大数据信息挖掘方法研究81402763青年科学基金
关键词 流量识别 安全
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  • 1LI Xiang, QI Feng, XU Dan, et al. An internet traffic classification method based on semi-supervised support vector machine[C]//Proceedings of 2011 IEEE International Conference on Communications (ICC). Washington:IEEE Computer Society, 2011:1-5.
  • 2LIU Tingwen, SUN Yong, GUO Li. Fast and memory-efficient traffic classification with deep packet inspection in CMP architecture[C]//Proceedings of 2010 IEEE 5th International Conference on Networking, Architecture and Storage (NAS). Washington:IEEE Computer Society, 2010:208-217.
  • 3KIM H, CLAFFY K C, FOMENKOV M, et al. Internet traffic classification demystified:myths, caveats, and the best practices[C]//Proceedings of 2008 ACM CoNEXT Conference. New York:ACM Press,2008:11-15.
  • 4JIN Yu, DUFFIELD N, ERMAN J, et al. A modular machine learning system for Flow-Level traffic classification in large networks[J]. ACM Transactions on Knowledge Discovery From Data, 2012, 6(1):4-10.
  • 5BUJLOW T, RIAZ T, PEDERSEN J M. A method for classification of network traffic based on C5.0 machine learning algorithm[C]//Proceedings of 2012 International Conference on Computing, Networking and Communications (ICNC). Washington:IEEE Computer Society, 2012:237-241.
  • 6MOORE A W, ZUEV D. Internet traffic classification using bayesian analysis techniques[J]. ACM SIGMETRICS Performance Evaluation Review, 2005, 33(6):50-60.
  • 7MCGREGOR A, HALL M P, LORIER P, et al. Flow clustering using machine learning techniques:passive and active network measurement [J]. Lecture Notes in Computer Science, 2004, 3015:205-214.
  • 8MOON T K. The expectation-maximization algorithm[J]. IEEE Signal Processing Magazine,1996, 13(6):47-60.
  • 9ERMAN J, ARLITT M, MAHANTI A. Traffic classification using clustering algorithms[C]//Proceedings of 2006 SIGCOMM Workshop on Mining Network Data. New York:ACM Pres, 2006:281-286.
  • 10KRYSZKIEWICZ M, LASEK P. TI-DBSCAN:clustering with DBSCAN by means of the triangle inequality[J]. Lecture Notes in Computer Science, 2010, 6086:60-69.

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