Title : 
Trust Model Based on Bayesian Network in E-commerce
         
        
            Author : 
Li, Dao-Quan ; Li, Li-Li ; Yang, Hua
         
        
            Author_Institution : 
Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
         
        
        
        
        
        
            Abstract : 
Trust is a key constraining factor in the development of electronic commerce. The parties must establish a certain trust model between each other before the beginning of transaction. This paper analyses the advantages and deficiencies of existing models, and presents a trust model for E-commerce based on Bayesian network. The model is based on Bayesian network and conditional probability formula, introducing conditional probability table, fully considered the impact of major factors which have relationship to formal e-commerce transactions, raising the transaction success rate to a certain extent. Meanwhile, this model introduces the time decay factor and the incentive factor, reducing the generating probability of malicious node.
         
        
            Keywords : 
Bayes methods; belief networks; electronic commerce; security of data; transaction processing; Bayesian network; conditional probability; e-commerce transactions; electronic commerce; trust model; Analytical models; Bayesian methods; Business; Computational modeling; Computers; Conferences; Educational institutions; Bayesian Network; E-Commerce; P2P; trust model;
         
        
        
        
            Conference_Titel : 
E-Business and E-Government (ICEE), 2010 International Conference on
         
        
            Conference_Location : 
Guangzhou
         
        
            Print_ISBN : 
978-0-7695-3997-3
         
        
        
            DOI : 
10.1109/ICEE.2010.1253