Robust application identification methods for P2P and VoIP traffic classification in backbone networks-Reference-Cited by-同舟云学术

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Robust application identification methods for P2P and VoIP traffic classification in backbone networks

Published:2015-07 Issue: Volume:82 Page:152-162
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Qin Tao,Wang Lei,Liu Zhaoli,Guan Xiaohong

Funder

National Natural Science Foundation of China

National Science & Technology Support Program of China

Application Foundation Research Program of SuZhou

Fundamental Research Funds for the Central University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference35 articles.

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2. N. Hua, H. Song, T. Lakshman, Variable-stride multi-pattern matching for scalable deep packet inspection, in: Proceedings of IEEE INFOCOM 2009, Rio de Janeiro, 19–25 April 2009, pp. 415–423.

3. Scalable look ahead regular expression detection system for deep packet inspection;Bando;IEEE/ACM Trans. Networking,2012

4. Z. Li, G. Xia, H. Gao, Y. Tang et al., NetShield: massive semantics-based vulnerability signature matching for high-speed networks, in Proceedings of the ACM SIGCOMM 2010, August 30-September 3, 2010, New Delhi, India, pp. 279–290.

5. Y. Xu, L. Ma, Z. Liu, H.J. Chao. A multi-dimensional progressive perfect hashing for high-speed string matching, in: Proceedings of the ACM/IEEE Symposium on Architectures for Networking and Communications Systems, Brooklyn, October 2011, pp. 167–177.

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