Title :
A novel trust model based on bayes statistics
Author :
Xu, Hai-Mei ; Liu, Yu-Lin ; Li, Ting-Quan ; Yang, Hua ; Wang, Li-Jun
Author_Institution :
Chongqing Commun. Inst., Chongqing, China
Abstract :
Based on Bayesian statistics, this paper presents a novel P2P trust model BTtrust. The history records of transaction and prior beliefs are used to derive the global trust value of every node. Every node trades with peers with high trust values. Mathematical analysis and simulation results show BTtrust can resist attacks of malicious peers and improve the successful download rate of the whole P2P system.
Keywords :
Bayes methods; belief maintenance; peer-to-peer computing; security of data; statistical distributions; BTtrust; Bayes statistics; P2P system download rate; P2P trust model; global trust value; malicious peer attack resistance; mathematical analysis; prior belief; probability density distribution; transaction history record; Aggregates; Bayesian methods; Cloud computing; Peer to peer computing; Probability density function; Wireless sensor networks; Bayesian inference; history records of transaction; hypothesis testing; posterior probability density;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246378
