DocumentCode
185827
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
fYear
2014
fDate
18-19 Oct. 2014
Firstpage
454
Lastpage
457
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4799-5352-3
Type
conf
DOI
10.1109/SPAC.2014.6982732
Filename
6982732
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