The Method of Recommended Trust Evaluation Based on Grey Correlation Analysis

ZHAO Bin1,2,3,†, HE Jingsha1, ZHANG Yixuan1, ZHAI Peng1,2

1. School of Software Engineering, Beijing University of Technology, Beijing 100124; 2. Department of Computer Science, Jining University, Qufu 273155; 3. State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. Ltd, Beijing 100871; † E-mail: jnzhaobin@163.com

Abstract In order to solve the problem of objectively evaluating recommendation trust using the weight of third party’s recommendation in the development of a solution for access control in open networks, a method of recommended trust evaluation based on the gray correlation analysis is proposed, which uses grey correclaton analysis theory between the entities of the development trend of the different degree to evaluate recommended weight in open network. Examples and simulation experiments show that results derived from the computation of the weight of the recommending entity is consistent with the actual results, which helps to verify that the proposed method can ensure the effectiveness and objectiveness of the evaluation decision on recommendation trust. Key words open network; access control; trust evaluation; grey relational analysis; recommended entity

访问控制是保障信息安全的重要手段之一, 基于信任的访问控制问题是面向开放式网络访问控制研究的热点。信任关系是最复杂的人类社会关系之一, 是一种抽象的、很难准确度量的心理认知。信任关系具有很强的主观性、不确定性、模糊性和隐私性。访问控制中交互实体间信任的综合评估由直接信任和间接的推荐信任决定[1]。在信任的综合评估过程中, 实体首次交互时, 由于彼此信息了解不足, 直接经验较少, 倾向于通过第三方实体的推荐

信任信息, 因此推荐信任占有较高的比重。但是,随着交互次数的增加, 实体间更愿意相信自己直接

[2]的交互经验, 此时推荐信任的比重降低 。因此,如何合理利用第三方推荐实体的推荐权重, 得出推荐信任的评估结果, 是访问控制中信任综合评估的一个关键问题。本文针对开放式网络中基于信任的访问控制的推荐信任评估问题, 借助关联度分析方法, 提出基于灰色关联分析的推荐信任评估方法,解决基于信任的访问控制中推荐实体域的推荐信任