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基于可信建模过程的信任模型评估算法
  • ISSN号：1000-0054
  • 期刊名称：《清华大学学报：自然科学版》
  • 时间：0
  • 分类：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]北京邮电大学信息安全中心,北京100876, [2]北京邮电大学灾备技术国家工程实验室,北京100876
  • 相关基金：国家自然科学基金资助项目（61161140320,61121061）
作者： 汪京培[1], 孙斌[1,2], 钮心忻[1,2], 杨义先[1,2]
关键词： 网络安全, 信任模型, 评估方法, 可信建模, network security trust model, evaluation method, trusted modeling
中文摘要：

目前缺乏有效的方法对已存的各种信任模型进行分析和评估。为解决该问题,提出了一种基于可信建模过程的信任模型评估算法。将信任模型按照信任生命周期分解成信任产生、信任建模、信任计算、信任决策和信任传递这5个部分,对每个过程进行可信性分析,并模糊量化评估值,用Bayesian融合形成综合的评估结果。最后以无线传感器网络信任模型为例,对所提算法进行了验证,同时给出了算法的有效性分析和仿真。结果证明所提算法能解决给定信任模型的最优化选择问题,并在准确性、稳定性和效率3个方面相对以往算法有一定的改善。该评估结果为信任模型的标准化提供了一定的参考。

英文摘要：

There are few effective evaluation methods for assessing trust models. This paper presents a trust model evaluation algorithm where the trust model is divided into five trusted processes in the trust lifestyle such as trust establishing, trust modeling, trust computing, trust decision-making and trust transmissions. Then, each process is analyzed for reliability using fuzzy theory and the Bayesian method with the results fused into a comprehensive quantitative evaluation result. The method is illustrated by evaluating wireless sensor network trust models. The analysis results show that the algorithm can provide optimal selection of trust models in practical applications with better accuracy, stability and efficiency than prevous methods. The evaluation results provide a reference for the development of standard trust models.

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期刊信息
  • 《清华大学学报：自然科学版》
  • 中国科技核心期刊
  • 主管单位:教育部
  • 主办单位:清华大学
  • 主编：梁恩忠
  • 地址：北京市海淀区清华大学学研大厦B座908
  • 邮编：100084
  • 邮箱：xuebaost@tsinghua.edn.cn
  • 电话：010-62788108 62792976
  • 国际标准刊号：ISSN：1000-0054
  • 国内统一刊号：ISSN：11-2223/N
  • 邮发代号:2-90
  • 获奖情况:
  • 国家期刊奖,国家“双高”期刊,1992年以来，历次国家级和省部级一等奖,第一、二届全国优秀科技期刊一等奖，教育部优秀期...,第三届中国出版政府奖提名奖
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,美国应用力学评论,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:43470