Two Novel Trust Evaluation Algorithms
Trust and reputation are being used by e-commerce systems for online trading over the Web. Computing trust for an unknown agent in such an open environment is a demanding job. In order to solve the problem, a definition of trust scaling factor (TSF) has been proposed in this work. TSF has been implemented in two ways by modifying parallelization algorithm suggested for Bayesian social networks in 1, giving two novel trust computing algorithms. Performance of second algorithm has been compared with Beth, Borcherding and Klein (BBK) 2 under same situation showing a large reduction in impact of malicious agents.
Muhammad Hanif Durad Yuanda Cao Zhu Liehuang
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P.R. China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
1641-1646
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）