Study of trust measurement model for Internetware based on Rough-fuzzy

被引：0

作者：

机构：

[1] College of Computer Science and Technology, Harbin Engineering University

来源：

Wang, Y. (towangyingjie@163.com) | 2013年 / Editorial Board of Journal of Harbin Engineering卷 / 34期

关键词：

Information entropy; Internetware; Rough-fuzzy; Trust measurement model; Trust property;

D O I：

10.3969/j.issn.1006-7043.201203052

中图分类号：

学科分类号：

摘要：

Specific to characters of trust measurement models for Internetware that lack adaptability and cannot depict complexity and uncertainty of trust relationship, this paper proposes a trust measurement model for Internetware based on Rough-fuzzy. For solving uncertainty problem of trust property values, this paper brings Rough-fuzzy theory in trust measurement, and put information entropy theory into the weights calculation of different trust property values. Experiment results show that, the measurement model can distinct well-meaning nodes and malicious nodes clearly and inhibit the trust growth of malicious nodes. And this model has a good adaptability. For some trust measurement parameters, system can adjust, increase and decrease them, so that adapt dynamic character of open network environment.

引用

页码：221 / 226

页数：5

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