CFP last date
20 June 2024
Reseach Article

State of the Art Review of Network Traffic Classification based on Machine Learning Approach

Published on May 2013 by Pallavi Singhal, Rajeev Mathur, Himani Vyas
International Conference on Recent Trends in Engineering and Technology 2013
Foundation of Computer Science USA
ICRTET - Number 1
May 2013
Authors: Pallavi Singhal, Rajeev Mathur, Himani Vyas
384dfc62-1bb3-453d-bb2c-e88ac640c2d3

Pallavi Singhal, Rajeev Mathur, Himani Vyas . State of the Art Review of Network Traffic Classification based on Machine Learning Approach. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 1 (May 2013), 12-16.

@article{
author = { Pallavi Singhal, Rajeev Mathur, Himani Vyas },
title = { State of the Art Review of Network Traffic Classification based on Machine Learning Approach },
journal = { International Conference on Recent Trends in Engineering and Technology 2013 },
issue_date = { May 2013 },
volume = { ICRTET },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 12-16 },
numpages = 5,
url = { /proceedings/icrtet/number1/11760-1307/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Engineering and Technology 2013
%A Pallavi Singhal
%A Rajeev Mathur
%A Himani Vyas
%T State of the Art Review of Network Traffic Classification based on Machine Learning Approach
%J International Conference on Recent Trends in Engineering and Technology 2013
%@ 0975-8887
%V ICRTET
%N 1
%P 12-16
%D 2013
%I International Journal of Computer Applications
Abstract

Network traffic classification is extensively required mainly for many network management tasks such as flow prioritization, traffic shaping/policing, and diagnostic monitoring. Similar to network management tasks, many network engineering problems such as workload characterization and modeling, capacity planning, and route provisioning also benefit from accurate identification of network traffic . This paper presents review on all the work done related to Network Traffic Management since 1993 to 2013 in various fields like artificial intelligence, neural network, ATM and wireless networks.

References
  1. Gebele, A. J. ; Khalil, K. ,1993. Network traffic workload classification methods for workstation GUI applications
  2. Gupta, S. ; El Zarki, M,1993, Traffic classification for round-robin scheduling schemes in ATM networks
  3. Kubbar, O. ; Mouftah, H. T. ,1996, Traffic classification and resource allocation in ATM networks
  4. Barry, R. L. ; Kinsner, W. 2004, Multifractal characterization for classification of network traffic.
  5. Yeophantong, T. ; Pakdeepinit, P. ; Moemeng, P. ; Daengdej, J. ,2005, Network Traffic Classification Using Dynamic State Classifier
  6. Crotti, M. ; Gringoli, F. ; Pelosato, P. ; Salgarelli, L. ,2006, A statistical approach to IP-level classification of network traffic
  7. Kwangjin Choi; Jun Kyun Choi,2006, Pattern Matching of Packet Payload for Network Traffic Classification.
  8. Gyu Myoung Lee; Jun Kyun Choi,2006, Multipath Routing for Traffic Engineering with Flow Classification in GMPLS Network.
  9. Kiziloren, T. ; Germen, E. ,2007, Network traffic classification with Self Organizing Maps.
  10. Auld, T. ; Moore, A. W. ; Gull, S. F. ,2007, Bayesian Neural Networks for Internet Traffic Classification.
  11. Balagani, K. S. ; Phoha, V. V. ; Kuchimanchi, G. K. ,2007, A Divergence-measure Based Classification Method for Detecting Anomalies in Network Traffic.
  12. Liu Yingqiu; Li Wei; Li Yunchun,2007, Network Traffic Classification Using K-means Clustering.
  13. Rajkamal, R. ; Vanaja Ranjan, P. ,2008, Packet classification for Network Processors in WSN traffic using ANN.
  14. Raahemi, B. ; Kouznetsov, A. ; Hayajneh, A. ; Rabinovitch, P. ,2008, Classification of Peer-to-Peer traffic using incremental neural networks (Fuzzy ARTMAP).
  15. Teufl, P. ; Payer, U. ; Amling, M. ; Godec, M. ; Ruff, S. ; Scheikl, G. ; Walzl, G. ,2008, InFeCT - Network Traffic Classification
  16. Becker, M. ; Bohlmann, S. ; Schaust, S. ,2008, Traffic analysis and classification with bio-inspired and classical algorithms in sensor networks.
  17. Dainotti, A. ; de Donato, W. ; Pescape, A. ; Salvo Rossi, P. ,2008, Classification of Network Traffic via Packet-Level Hidden Markov Models.
  18. Gang Shen; Lian Fan,2008, Network Traffic Classification Based on Message Statistics
  19. Ai-min Yang; Sheng-yi Jiang; He Deng,2008,A P2P Network Traffic Classification Method Using SVM.
  20. Yizhen Liu; Daxiong Xu; Zhixin Mu; Jiayi Qin,2009, Efficient Hybrid Packet Classification in Traffic Control System Using Network Processors.
  21. Xie; Bo Yang; Yuehui Chen; Lin Wang; Zhenxiang Chen,2009, Network Traffic Classification Based on Error-Correcting Output Codes and NN Ensemble.
  22. Satoh, A. ; Osada, T. ; Abe, T. ; Kitagata, G. ; Shiratori, N. ; Kinoshita, T. ,2009, Traffic Classification in Mobile IP Network.
  23. Chengjie Gu; Shunyi Zhuang,2010, A novel P2P traffic classification approach using back propagation neural network.
  24. Gargiulo, F. ; Sansone, C. ,2010, Improving Performance of Network Traffic Classification Systems by Cleaning Training Data.
  25. Gu Yiran; Wang Suoping,2010, Traffic Identification Method for Specific P2P Based on Multilayer Tree Combination Classification by BP-LVQ Neural-Network.
  26. Sanders, S. ; Fairbanks, K. ; Jampana, S. ; Owen, H. ,2010, Visual network traffic classification using multi-dimensional piecewise polynomial models.
  27. Runyuan Sun; Bo Yang; Lizhi Peng; Zhenxiang Chen; Lei Zhang; Shan Jing,2010, Traffic classification using probabilistic neural networks.
  28. Wang Ruoyu; Liu Zhen; Zhang Ling,2010, A new re-sampling method for network traffic classification using SML.
  29. Abdennebi, M. ; Ghamri-Doudane, Y. ; Yan Li,2010, Adaptive CAC with traffic flows classification for IEEE 802. 16 networks.
  30. Toplak, W. ; Koller, H. ; Dragaschnig, M. ; Bauer, D. ; Asamer, J. ,2010, Novel road classifications for large scale traffic networks.
  31. Jian-Min Wang; Cheng-Lu Qian; Chun-Hui Che; Hai-Tao He,2010, Study on Process of Network Traffic Classification Using Machine Learning.
  32. Shrivastav, A. ; Tiwari, A. ,2010, Network Traffic Classification Using Semi-Supervised Approach.
  33. Hu Ting; Wang Yong; TaoXiaoling,2010,Network traffic classification based on Kernel Self-Organizing Maps.
  34. Ciresan, D. ; Meier, U. ; Masci, J. ; Schmidhuber, J. ,2011, A committee of neural networks for traffic sign classification.
  35. Ning Jing; Ming Yang; Shaoyin Cheng; Qunfeng Dong; Hui Xiong,2011, An efficient SVM-based method for multi-class network traffic classification.
  36. Bujlow, T. ; Balachandran, K. ; Riaz, T. ; Pedersen, J. M. ,2011, Volunteer-based system for classification of traffic in computer networks.
  37. Zaman, B. ; Jatmiko, W. ; Wibowo, A. ; Imah, E. M. ,2011, Implementation vehicle classification on Distributed Traffic Light Control System neural network based.
  38. Xuefeng Mu; Wenjun Wu,2011, A Parallelized Network Traffic Classification Based on Hidden Markov Model.
  39. Jiang Wenjuan; Zong Peng,2011, QoS routing algorithm based on traffic classification in LEO satellite networks.
  40. Wengang Zhou; Leiting Dong; Bic, L. ; Mingtian Zhou; Leiting Chen,2011, Internet traffic classification using feed-forward neural network.
  41. Gomes, R. L. ; Mauro Madeira, E. R. ,2012, A Traffic Classification Agent for Virtual Networks Based on QoS Classes.
  42. Xue Han; Yiqing Zhou; Liang Huang; Lin Han; Jinlong Hu; Jinglin Shi,2012, Maximum entropy based IP-traffic classification in mobile communication networks.
  43. Bujlow, T. ; Riaz, T. ; Pedersen, J. M. ,2012, A method for classification of network traffic based on C5. 0 Machine Learning Algorithm.
  44. Jun Zhang; Chao Chen; Yang Xiang; Wanlei Zhou,2012, Semi-supervised and Compound Classification of Network Traffic.
  45. Nen-Fu Huang; Gin-Yuan Jai; Chih-Hao Chen; Han-Chieh Chao,2012, On the cloud-based network traffic classification and applications identification service.
  46. Zhang, Jun; Xiang, Yang; Wang, Yu; Zhou, Wanlei; Xiang, Yong; Guan, Yong,2013, Network Traffic Classification Using Correlation Information.
Index Terms

Computer Science
Information Sciences

Keywords

Network Traffic Supervised Unsupervised Learning Semi-supervised Clustering Classification Machine Learning