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%.
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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
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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)