International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 9 | Number 2 | Year 2014 | Article Id. IJCTT-V9P157 | DOI : https://doi.org/10.14445/22312803/IJCTT-V9P157

A Survey of Machine Learning Algorithm in Network Traffic Classification

Supriya Katal , Hardeep Singh

Citation :

Supriya Katal , Hardeep Singh, "A Survey of Machine Learning Algorithm in Network Traffic Classification," International Journal of Computer Trends and Technology (IJCTT), vol. 9, no. 2, pp. 301-304, 2014. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V9P157

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.

Keywords

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

References

[1] Yibo Xue, Luoshi Zhang and Dawei Wang, Traffic Classification: Issues and Challenges, Journal of Communication Vol. 8, No. 4, April 2013.
[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).
[6] Thuy T. T. Nguyen, Grenville Armitage, Timely and Continuous Machine – Learning- Based Classification for interactive IP Traffic, IEEE/ACM Transactions on Networking, Vol. 20, No. 6, Dec 2012.
[7] Jun Zhang, Yong Guan, Network Traffic Classification using Correlation information, IEEE transactions on Parallel and Distributed systems, Vol. 24, No. 1, Jan 2013.