Title :
A Bayesian trust sampling method for P2P traffic inspection
Author :
Chunzhi Wang ; Dongyang Yu ; Hui Xu ; Hongwei Chen
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
Bayes methods; peer-to-peer computing; sampling methods; telecommunication traffic; trusted computing; Bayesian trust sampling method; P2P traffic inspection; P2P traffic ratio; historical proportion estimation; peer-to-peer traffic identification method; Accuracy; Bayes methods; Data models; Fluctuations; Peer-to-peer computing; Predictive models; Bayesian Trust; P2P Traffic Identification; Two-stage Sampling;
Conference_Titel :
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-5352-3
DOI :
10.1109/SPAC.2014.6982732
