Two novel trust evaluation algorithms

Muhammad Hanif Durad*, Yuanda Cao, Zhu Liehuang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

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 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.

Original languageEnglish
Title of host publication2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings - Computer, Optical and Broadband Communications, Computational Intelligence
Pages1641-1646
Number of pages6
DOIs
Publication statusPublished - 2006
Event2006 International Conference on Communications, Circuits and Systems, ICCCAS - Guilin, China
Duration: 25 Jun 200628 Jun 2006

Publication series

Name2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings
Volume3

Conference

Conference2006 International Conference on Communications, Circuits and Systems, ICCCAS
Country/TerritoryChina
CityGuilin
Period25/06/0628/06/06

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