Two novel trust evaluation algorithms

Muhammad Hanif Durad*, Yuanda Cao, Zhu Liehuang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

14 引用 (Scopus)
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摘要

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.

源语言英语
主期刊名2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings - Computer, Optical and Broadband Communications, Computational Intelligence
1641-1646
页数6
DOI
出版状态已出版 - 2006
活动2006 International Conference on Communications, Circuits and Systems, ICCCAS - Guilin, 中国
期限: 25 6月 200628 6月 2006

出版系列

姓名2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings
3

会议

会议2006 International Conference on Communications, Circuits and Systems, ICCCAS
国家/地区中国
Guilin
时期25/06/0628/06/06

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引用此

Durad, M. H., Cao, Y., & Liehuang, Z. (2006). Two novel trust evaluation algorithms. 在 2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings - Computer, Optical and Broadband Communications, Computational Intelligence (页码 1641-1646). 文章 4064214 (2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings; 卷 3). https://doi.org/10.1109/ICCCAS.2006.284988