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author:

Deng, Haotian (Deng, Haotian.) [1] | Liang, Jinwen (Liang, Jinwen.) [2] | Zhang, Chuan (Zhang, Chuan.) [3] | Liu, Ximeng (Liu, Ximeng.) [4] | Zhu, Liehuang (Zhu, Liehuang.) [5] | Guo, Song (Guo, Song.) [6]

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EI

Abstract:

Decentralized identity (DID) systems conforming to the World Wide Web Consortium (W3C) Decentralized Identifiers (DIDs) and Verifiable Credentials Data Model recommendations have recently attracted attention due to their better autonomy, interoperability, and openness design. However, those W3C recommendations lack a design for addressing the single point of failure (SPOF) and identity revocation, which could seriously compromise the robustness and practicality of DID systems. To remedy these limitations, we propose FutureDID, a DID system that enables multiple parties to jointly issue credentials and efficiently revoke DID identities, providing a robust and practical DID system. FutureDID is designed with a multi-party credential issuing mechanism based on distributed key generation technology, which transforms trust from a single entity to distributed committees and facilitates authentication between issuers, making it more resistant to SPOF. Moreover, the underlying blockchain system is built on a chameleon hash function to ensure tamper-proof and enable efficient identity revocation. We have implemented a prototype system using FISCO BCOS and conducted extensive evaluations to demonstrate the effectiveness and practicality of our system. Our evaluations have shown that FutureDID provides a significant improvement in efficiency, achieving at least a 60 × efficiency improvement in identity revocation compared to state-of-the-art systems. © 1968-2012 IEEE.

Keyword:

Authentication Blockchain Distributed computer systems Efficiency Function evaluation Hash functions Interoperability Network security

Community:

  • [ 1 ] [Deng, Haotian]Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing; 100081, China
  • [ 2 ] [Liang, Jinwen]Hong Kong Polytechnic University, Department of Computing, Hung Hom, Hong Kong
  • [ 3 ] [Zhang, Chuan]Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing; 100081, China
  • [ 4 ] [Liu, Ximeng]Fuzhou University, College of Mathematics and Computer Science, Fuzhou; 350108, China
  • [ 5 ] [Zhu, Liehuang]Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing; 100081, China
  • [ 6 ] [Guo, Song]Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Kowloon, Hong Kong

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Source :

IEEE Transactions on Computers

ISSN: 0018-9340

Year: 2024

Issue: 8

Volume: 73

Page: 2051-2065

3 . 6 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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