Visible to the public Research on Decentralized Identity and Access Management Model Based on the OIDC Protocol

TitleResearch on Decentralized Identity and Access Management Model Based on the OIDC Protocol
Publication TypeConference Paper
Year of Publication2020
AuthorsLi, K., Ren, A., Ding, Y., Shi, Y., Wang, X.
Conference Name2020 International Conference on E-Commerce and Internet Technology (ECIT)
Date PublishedApril 2020
PublisherIEEE
ISBN Number978-1-7281-5902-7
Keywordsaccess management application cluster, application system, authentication rules, authorisation, certificate authority, cryptographic protocols, Decentralized ID, decentralized identity authentication, encryption services, Human Behavior, identity information, Identity management, message authentication, OIDC protocol, personal identity access management model, personal information security problems, personal security information, pubcrawl, reliable authentication service, resilience, Resiliency, Scalability, unified authentication service
Abstract

In the increasingly diverse information age, various kinds of personal information security problems continue to break out. According to the idea of combination of identity authentication and encryption services, this paper proposes a personal identity access management model based on the OIDC protocol. The model will integrate the existing personal security information and build a set of decentralized identity authentication and access management application cluster. The advantage of this model is to issue a set of authentication rules, so that all users can complete the authentication of identity access of all application systems in the same environment at a lower cost, and can well compatible and expand more categories of identity information. Therefore, this method not only reduces the number of user accounts, but also provides a unified and reliable authentication service for each application system.

URLhttps://ieeexplore.ieee.org/document/9134306
DOI10.1109/ECIT50008.2020.00065
Citation Keyli_research_2020