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Personal Information Self-Management: A Survey of Technologies Supporting Administrative Services
Journal of Computer Science and Technology ( IF 1.2 ) Pub Date : 2021-05-31 , DOI: 10.1007/s11390-021-9673-z
Paul Marillonnet , Maryline Laurent , Mikaël Ates

This paper presents a survey of technologies for personal data self-management interfacing with administrative and territorial public service providers. It classifies a selection of scientific technologies into four categories of solutions: Personal Data Store (PDS), Identity Manager (IdM), Anonymous Certificate System and Access Control Delegation Architecture. Each category, along with its technological approach, is analyzed thanks to 18 identified functional criteria that encompass architectural and communication aspects, as well as user data lifecycle considerations. The originality of the survey is multifold. First, as far as we know, there is no such thorough survey covering such a panel of a dozen of existing solutions. Second, it is the first survey addressing Personally Identifiable Information (PII) management for both administrative and private service providers. Third, this paper achieves a functional comparison of solutions of very different technical natures. The outcome of this paper is the clear identification of functional gaps of each solution. As a result, this paper establishes the research directions to follow in order to fill these functional gaps.



中文翻译:

个人信息自我管理:支持行政服务的技术调查

本文介绍了个人数据自我管理与行政和地区公共服务提供者接口的技术调查。它将一系列科学技术分为四类解决方案:个人数据存储 (PDS)、身份管理器 (IdM)、匿名证书系统和访问控制委托架构。由于包含架构和通信方面以及用户数据生命周期考虑因素的 18 个已确定的功能标准,每个类别及其技术方法都得到了分析。该调查的独创性是多方面的。首先,据我们所知,目前还没有涵盖如此多的现有解决方案的如此全面的调查。第二,这是第一个针对行政和私人服务提供商的个人身份信息 (PII) 管理的调查。第三,本文对技术性质截然不同的解决方案进行了功能比较。本文的结果是清楚地确定了每个解决方案的功能差距。因此,本文确立了要遵循的研究方向,以填补这些功能空白。

更新日期:2021-06-15
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