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| 基于平衡权重的动态综合信任度量方法 | |
| 引用本文： | 赵斌,何泾沙,黄娜,张伊璇,刘若鸿.基于平衡权重的动态综合信任度量方法[J].北京邮电大学学报,2015,38(2):113-117. |
| 作者姓名： | 赵斌 何泾沙 黄娜 张伊璇 刘若鸿 |
| 作者单位： | 1. 北京工业大学 软件学院, 北京 100124; 2. 济宁学院 计算机科学系, 山东 273155; 3. 数字出版技术国家重点实验室(筹), 北京 100871; 4. 北京经开投资开发股份有限公司 信息技术中心, 北京 100176 |
| 基金项目： | 国家自然科学基金项目(61272500); 国家高技术研究发展计划项目(2015AA011103); 北京自然科学基金项目(4142008); 山东省自然科学基金项目(ZR2013FQ024); 山东省科学技术发展计划项目(2013RKA08007,2014RKB14122); 山东省高校科技计划项目(J12LN70,J14LN80); 北大方正集团有限公司数字出版技术国家重点实验室开放课题 |
| 摘 要： | 信任度量是面向开放式网络基于信任的访问控制可信管理中亟待解决的关键问题之一. 根据人类社会学中信任的复杂关系,阐述了信任的相关概念,在基于信任的动态访问控制组成架构的基础上,考虑交互历史参数、奖惩因子、推荐实体评价可信度等多影响因子实现信任的计算,引入平衡权重因子解决直接信任和推荐信任的权重分配问题,提出了面向开放式网络基于平衡权重的动态信任综合度量方法. 仿真结果与分析结果表明,该信任度量方法具有一定的鲁棒性和更好的动态自适应性. |
| 关 键 词： | 综合信任 平衡权重 信任度量 动态自适应 |
| 收稿时间： | 2014-01-01 |
Dynamic Global Trust Evaluation Based on Balance Weight |
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| ZHAO Bin,HE Jing-sha,HUANG Na,ZHANG Yi-xuan,LIU Ruo-hong.Dynamic Global Trust Evaluation Based on Balance Weight[J].Journal of Beijing University of Posts and Telecommunications,2015,38(2):113-117. | |
| Authors: | ZHAO Bin HE Jing-sha HUANG Na ZHANG Yi-xuan LIU Ruo-hong |
| Affiliation: | 1. School of Software Engineering, Beijing University of Technology, Beijing 100124, China; 2. Department of Computer Science, Jining University, Shangdong 273155, China; 3. State Key Laboratory of Digital Publishing Technology, Beijing 100871, China; 4. Information Technology Department, Beijing Development Area Company, Beijing 100176,China |
| Abstract: | The trust evaluation is one of the key issues that need to be resolved in credible trust management for trust-based access control in open networks. Referring to the complexity of trust relationships in human society, some relevant concepts on trust and proposes a dynamic comprehensive trust evaluation method for open networks was introduced. This method establishes a trust-based access control framework and introduces a balanced weight factor in trust evaluation to solve the problem for determining the weights between direct trust which includes historical information to improve accuracy and recommendation trust which includes the bonus-penalty factor as well as the reliability of evaluation to improve reliability and efficiency. Experiment shows that the proposed method can achieve certain robustness and better dynamic self-adaptability. |
| Keywords: | global trust balanced weight trust evaluation dynamic self-adaptability |
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