@Article{cmes.2024.051612,
AUTHOR = {Iuon-Chang Lin, I-Ling Yeh, Ching-Chun Chang, Jui-Chuan Liu, Chin-Chen Chang},
TITLE = {Designing a Secure and Scalable Data Sharing Mechanism Using Decentralized Identifiers (DID)},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {141},
YEAR = {2024},
NUMBER = {1},
PAGES = {809--822},
URL = {http://www.techscience.com/CMES/v141n1/57689},
ISSN = {1526-1506},
ABSTRACT = {Centralized storage and identity identification methods pose many risks, including hacker attacks, data misuse, and single points of failure. Additionally, existing centralized identity management methods face interoperability issues and rely on a single identity provider, leaving users without control over their identities. Therefore, this paper proposes a mechanism for identity identification and data sharing based on decentralized identifiers. The scheme utilizes blockchain technology to store the identifiers and data hashed on the chain to ensure permanent identity recognition and data integrity. Data is stored on InterPlanetary File System (IPFS) to avoid the risk of single points of failure and to enhance data persistence and availability. At the same time, compliance with World Wide Web Consortium (W3C) standards for decentralized identifiers and verifiable credentials increases the mechanism’s scalability and interoperability.},
DOI = {10.32604/cmes.2024.051612}
}