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Composite lightweight traffic classification system for network management
Author(s) -
Li Jun,
Zhang Shunyi,
Li Cuilian,
Yan Junrong
Publication year - 2010
Publication title -
international journal of network management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 28
eISSN - 1099-1190
pISSN - 1055-7148
DOI - 10.1002/nem.735
Subject(s) - computer science , traffic classification , encryption , scalability , the internet , payload (computing) , quality of service , traffic shaping , internet traffic engineering , computer network , port (circuit theory) , deep packet inspection , network management , internet traffic , data mining , computer security , network traffic control , database , world wide web , network packet , electrical engineering , engineering
Accurate and real‐time classification of network traffic is significant to a number of network operation and management tasks such as quality of service differentiation, traffic shaping and security surveillance. However, with emerging P2P applications using dynamic port numbers, IP masquerading techniques and payload encryption, accurate and intelligent traffic classification continues to be a big challenge despite a wide range of research work on the topic. Since each classification method has its disadvantages and hardly could meet the specific requirement of Internet traffic classification, this paper innovatively presents a composite traffic classification system. The proposed lightweight system can accurately and effectively identify Internet traffic with good scalability to accommodate both known and unknown/encrypted applications. Furthermore, It promises to satisfy various Internet uses and is feasible for use in real‐time line speed applications. Our experimental results show the distinct advantages of the proposed classification system. Copyright © 2009 John Wiley & Sons, Ltd.