A Survey of Machine Learning Algorithm in Network Traffic Classification

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-9 Number-6                          
Year of Publication : 2014
Authors : Supriya Katal , Hardeep Singh
  10.14445/22312803/IJCTT-V9P157

MLA

Supriya Katal , Hardeep Singh."A Survey of Machine Learning Algorithm in Network Traffic Classification". International Journal of Computer Trends and Technology (IJCTT) V9(6):301-304, March 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Network Traffic Classification is an emerging research area and now a day the research is widely used in various activities such as intrusion detection system and for security purpose. Many of the protocols and proposed application have been investigated and developed by using machine learning algorithms. We also focused on traditional and statistical methods. The previous used techniques and recent techniques have been compared using machine learning. In this paper the survey of different machine learning techniques are done and I identify better techniques to improve the performance.

References
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[2] Rostmizadeh, retrieved from Wikipedia: en.wikipidea.org/wiki/Supervised learning, October 2012.
[3] Bin Hu, Yi Shen, Machine learning based network Traffic Classification: A Survey, Journal of Information and Computational science 9: 11(2012) 3161- 3170.
[4] Wang Ruoyu, a new re-sampling method for network traffic Classification using SML, Project supported by National 973 Program of China, IEEE (2010).
[5] Kuldeep Singh and Sunil Agrawal, Comparative Analysis of five machine learning algorithms for IP traffic classification, IEEE (2011).
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Keywords
Network Traffic Classification, machine learning, supervised classification, feature set