Two Novel Trust Evaluation Algorithms

Author

Durad, Muhammad Hanif ; Cao, Yuanda ; Liehuang, Zhu

Author_Institution

Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol.

Volume

3

fYear

2006

fDate

25-28 June 2006

Firstpage

1641

Lastpage

1646

Abstract

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, giving two novel trust computing algorithms. Performance of second algorithm has been compared with Beth, Borcherding and Klein (BBK) under same situation showing a large reduction in impact of malicious agents

Keywords

belief networks; electronic commerce; electronic trading; multi-agent systems; Bayesian social network; Beth-Borcherding-Klein algorithm; e-commerce system; malicious agent; online trading; open environment; parallelization algorithm; trust evaluation algorithm; trust scaling factor; Atmosphere; Bayesian methods; Collaborative work; Computer networks; Computer science; Concurrent computing; Data structures; Multiagent systems; Social network services; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems Proceedings, 2006 International Conference on

Conference_Location

Guilin

Print_ISBN

0-7803-9584-0

Electronic_ISBN

0-7803-9585-9

Type

conf

DOI

10.1109/ICCCAS.2006.284988

Filename

4064214