A Survey of Machine Learning Algorithm in Network Traffic Classification

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
DOI :  10.14445/22312803/IJCTT-V9P157


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.

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Network Traffic Classification, machine learning, supervised classification, feature set