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http://dx.doi.org/10.7840/kics.2014.39B.6.350

A Method to Resolve TCP Packet Out-of-order and Retransmission Problem at the Traffic Collection Point  

Lee, Su-Kang (Korea University Department of Computer and Information Science)
An, Hyun-Min (Korea University Department of Computer and Information Science)
Kim, Myung-Sup (Korea University Department of Computer and Information Science)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39B, no.6, 2014 , pp. 350-359 More about this Journal
Abstract
With the rapid growth of Internet, the importance of application traffic analysis is increasing for efficient network management. The statistical information in traffic flows can be efficiently utilized for application traffic identification. However, the packet out-of-order and retransmission occurred at the traffic collection point reduces the performance of the statistics-based traffic analysis. In this paper, we propose a novel method to detect and resolve the packet out-of-order and retransmission problem in order to improve completeness and accuracy of the traffic identification. To prove the feasibility of the proposed method, we applied our method to a real traffic analysis system using statistical flow information, and compared the performance of the system with the selected 9 popular applications. The experiment showed maximum 4% of completeness growth in traffic bytes, which shows that the proposed method contributes to the analysis of heavy flow.
Keywords
retransmission; out-of-order; statistic signature; network management; traffic analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 H. M. An, J. H. Choi, J. H. Ham, and M. S. Kim. "A method to resolve the limit of traffic classification caused by abnormal TCP session," KNOM Rev., vol. 15, no. 1, pp. 31-39, Dec. 2012.
2 J. W. Park and M. S. Kim "Performance improvement of the statistic signature based traffic identification system," J. KIPS, vol. 18-C, no. 4, Aug. 2011.   과학기술학회마을   DOI   ScienceOn
3 B. C. Park, Y. J. Won, M.-S. Kim, and J. W. Hong, "Towards automated application signature generation for traffic identification," in Proc. IEEE Network Operations and Management Symp. (NOMS), pp. 160-167, Salvador, Bahia, Apr. 2008.
4 T. Bujlow, T. Riaz, and J. M. Pedersen, "A method for classification of network traffic based on C5.0 Machine Learning Algorithm," in Proc. ICNC, pp. 237-241, Maui, HI, Feb. 2012.
5 R. Yuan, Z. Li, X. Guan, and L. Xu, "An SVM-based machine learning method for accurate internet traffic classification," Inf. Syst. Frontiers, vol. 12, pp. 149-156, Apr. 2010.   DOI
6 S. Runyuan, Y. Bo, P. Lizhi, C. Yuehui, Z. Lei, and J. Shan, "Traffic classification using probabilistic neural networks," in Proc. ICNC, vol. 4, pp. 1914-1919, Yantai, Shandong, Aug. 2010.
7 L. Bernaille, R. Teixeira, and K. Salamatian, "Early application identification," in Proc. ACM CoNEXT, Lisboa, Portugal, 2006.
8 C. Yin, S. Li, and Q. Li, "Network traffic classification via HMM under the guidance of syntactic structure," J. Comput. Netw., vol. 56, pp. 1814-1825, Apr. 2012.   DOI   ScienceOn
9 J. Tan, X. Chen, and M. Du, "An internet traffic identification approach based on GA and PSO-SVM," J. Computers, vol. 7, pp. 19-29, 2012.
10 L. Bernaille, R. Teixeira, and K. Salamatian, "Early application identification," in Proc. CoNext 2006. Conf. Future Netw. Technol., 2006.
11 Y.-T Han and H.-S. Park, "Game traffic classification using statistical characteristics at the transport layer," ETRI J., vol. 32, no. 1, pp. 22-32, Feb. 2010.   과학기술학회마을   DOI   ScienceOn
12 Y. Jin, N. Duffield, J. Erman, P. Haffner, S. Sen, and Z. L. Zhang, "A modular machine learning system for flow-level traffic classification in large networks," ACM Trans. Knowledge Discovery from Data, vol. 6, pp. 1-34, 2012.
13 F. Gringoli, L. Salgarelli, M. Dusi, N. Cascarano, F. Risso, and K. C. Claffy, "GT: Picking up the truth from the ground for internet traffic," ACM SIGCOMM Computer Commun. Rev., vol. 39, pp. 12-18, 2009.   DOI