Abstract
Thunder, as the most popular P2P download software in China, has token up a large amount of bandwidth. And it is almost impossible to identify the encrypted thunder traffic. This paper proposes a method to detect encrypted Thunder traffic, featuring high precision and small computational cost. At the same time, this method doesn’t depend on content inspection, nor does it violate users’ privacy, which can be used flexibly in high-speed network environment, and deal with changes of statistical traffic properties. We implement a prototype system based on this algorithm, which can detect multiple versions of encrypted Thunder traffics in real time, achieving a precision rate above 95% and a recall rate above 95%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Download Software Ranking (April 2010), http://www.iresearch.com.cn/View/116214.html
Schulze, H., Mochalski, K.: Internet Study (2008/2009), http://www.ipoque.com/resources/internet-studies/internet-study-2008_2009
Xiong, G., Meng, J., Cao, Z.-G., Wang, Y., Guo, L., Fang, B.-X.: Research Progress and Prospects of Network Traffic Classification. Journal of Integration Technology 1(1), 31–41 (2012)
Karagiannis, T., Papagiannaki, K., Faloutsos, M.: BLINC: multilevel traffic classification in the dark. SIGCOMM Comput. Commun. Rev. 35(4), 229–240 (2005)
Xu, K., Zhang, Z.-L., Bhattacharyya, S.: Profiling internet backbone traffic: behavior models and applications. In: Proceedings of the 2005 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, pp. 169–180. ACM, Philadelphia (2005)
Iliofotou, M., Hyun-Chul, K., Faloutsos, M., et al.: Graph-Based P2P Traffic Classification at the Internet Backbone. In: Proceedings of the INFOCOM Workshops 2009, April 19-25. IEEE (2009)
Yangyang, L., Jianping, P.: The impact of NAT on BitTorrent-like P2P systems. In: Proceedings of the IEEE Ninth International Conference on Peer-to-Peer Computing, P2P 2009, September 9-11 (2009)
Bernaille, L., Teixeira, R., Salamatian, K.: Early application identification. In: Proceedings of the 2006 ACM CoNEXT Conference. ACM, Lisboa (2006)
Zhao, Y., Zhang, Z., Wang, Y., et al.: Performance evaluation of Xunlei peer-to-peer network: A measurement study. In: Proceedings of the Consumer Communications and Networking Conference (CCNC 2011). IEEE (January 2011)
Yong, Z., Zhibin, Z., Li, G., et al.: XunleiProbe: A Sensitive and Accurate Probing on a Large-Scale P2SP System. In: Proceedings of the 2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2011), October 20-22 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xiong, G., Huang, W., Zhao, Y., Song, M., Li, Z., Guo, L. (2013). Real-Time Detection of Encrypted Thunder Traffic Based on Trustworthy Behavior Association. In: Yuan, Y., Wu, X., Lu, Y. (eds) Trustworthy Computing and Services. ISCTCS 2012. Communications in Computer and Information Science, vol 320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35795-4_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-35795-4_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35794-7
Online ISBN: 978-3-642-35795-4
eBook Packages: Computer ScienceComputer Science (R0)