P2P流量检测中的贝叶斯信任抽样方法

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2014-10-01 DOI:10.1109/SPAC.2014.6982732

Chunzhi Wang, Dongyang Yu, Hui Xu, Hongwe Chen

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引用次数: 0

摘要

提出了一种基于贝叶斯信任抽样的P2P流量识别方法，该方法预测下一个周期P2P流量比例的波动程度，并对历史比例估计的使用量进行优化。仿真结果表明，在使用一定数量的P2P历史流量比率估计值的前提下，该信任方法能较好地预测P2P流量比率的波动程度，减少冗余样本数量。

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A Bayesian trust sampling method for P2P traffic inspection

A Peer-to-Peer (P2P) traffic identification method based on Bayesian trust sampling is presented in this paper, which predicts the fluctuation degree for next cycle of P2P traffic ratio, and optimizes for the used amount of historical proportion estimation. Simulation results show that, under the premise of using a fixed number of the estimated values for historical P2P ratio, this trust method makes a better forecast for the fluctuation degree of P2P traffic ratio, and reduces the amount of redundant samples.

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来源期刊

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

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