基于PageRank算法的自我主权身份认证信誉评价方法  

Reputation Evaluation Method of Self-sovereign identity Authentication Based on PageRank Algorithm

作　　者：赵一霈 谭海波[1,2] 张中贤[1] 赵赫[1] ZHAO Yipei;TAN Haibo;ZHANG Zhongxian;ZHAO He(Hefei Institutes of Physical Science,Chinese Academy of Sciences,Anhui 230031,China;University of Science and Technology of China,Anhui 230026,China)

机构地区：[1]中国科学院合肥物质科学研究院,安徽230031 [2]中国科学技术大学,安徽230026

出　　处：《电子技术（上海）》2023年第2期70-74,共5页Electronic Technology

基　　金：国家自然科学基金项目(61602435)。

摘　　要：自我主权身份认证系统采用多个身份证书发证方为用户提供身份数据背书服务,因发证方资质、诚实度等情况不同,其服务可信性存在较大差别。目前缺少发证方服务可信性的量化评价方法,不利于进一步提高系统的可信性和安全性。提出一种改进的PageRank算法,将其应用于发证方业务关联网络中,能够有效计算出发证方的信誉度,可作为发证方服务可信性的量化评价指标,以提高系统的可信性。实验表明,相较于传统的PageRank算法,本文方法反映了系统用户和验证者对发证方的信誉影响,提高了发证方信誉度计算的准确性。In the self-sovereign identity authentication system, multiple issuers provide identity data authenticity endorsement service for users. Due to the difference in qualifications and honesty of these issuers, the reliability of their services varies greatly. At present, there is a lack of quantitative evaluation methods for the credibility of the issuer’s service, which is not conducive to further improving the credibility and security of the system. This paper proposes an improved PageRank algorithm, which can effectively calculate the credibility of the issuer when being applied to the business association network of the issuer. Improving the credibility of the system, it can serve as an evaluation index of the creditability of the issuer’s service. As the experiments show, compared with the classic PageRank algorithm, the proposed method reflects the reputation impact of system users and verifiers on the issuer, and improves the accuracy of the credit calculation of the issuer.

关 键 词：信誉评价 自我主权身份 身份认证 可信性 PAGERANK算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP393[自动化与计算机技术—控制科学与工程] TP311.13