Internet Traffic Classification Based on Incremental Support Vector Machines

Author:

Sun Guanglu,Chen Teng,Su Yangyang,Li ChenglongORCID

Funder

National Natural Science Foundation of China

the research fund for the program of new century excellent talents

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference28 articles.

1. Kim H, Claffy K C, Fomenkov M, et al (2008) Internet traffic classification demystified: myths, caveats, and the best practices[C]//Proceedings of the 2008 ACM CoNEXT conference. ACM, 1-12

2. Karagiannis T, Papagiannaki K, Faloutsos M (2005) BLINC: multilevel traffic classification in the dark[C]//ACM SIGCOMM Computer Communication Review. ACM 35(4):229-240

3. Nguyen T T T, Armitage G (2008) A survey of techniques for internet traffic classification using machine learning[J]. IEEE Commun Surveys Tutor 10(4):56-76

4. Wang Y, Yu S Z (2008) Machine learned real-time traffic classifiers[C]. Intelligent Information Technology Application, 2008. IITA’08. Second International Symposium on IEEE, 3 p 449-454

5. Este A, Gringoli F, Salgarelli L (2009) Support vector machines for TCP traffic classification[J]. Comput Netw 53(14):2476–2490

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