TY - GEN
T1 - A Verifiable Dispersal Consensus and Identity Aggregation-based Trustworthy Decentralized Identity Governance
AU - Feng, Yiwei
AU - Xie, Tianxiu
AU - Chan, Weilin
AU - Guo, Hongchen
AU - Gai, Keke
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The maturation of blockchain technology has spurred a growing scholarly interest in Decentralized Identity (DID) within the industry. Existing decentralized identity solutions have been extensively applied and deeply researched in blockchain scenarios. However, blockchain-based decentralized digital identity still encounters significant hurdles, including issues related to limited consensus scalability, subpar authentication efficiency, and burdensome storage requirements. In this work, we propose a Verifiable Dispersal Consensus and identity Aggregation-based DID (VDCA-DID) model, which incorporates content aggregation and signature aggregation to enhance identity authentication efficiency. Moreover, in VDCA-DID, the trusted components and verifiable dispersal-based BFT Consensus protocol is employed to maintain consensus stability even in the presence of network fluctuations, achieving node agreement in asynchronous networks. This paper analyzes and evaluates VDCA-DID from the aspects of correctness and security to ensure the consensus robustness within asynchronous networks. Our experiment evaluations have demonstrated that the proposed model can increase the identity aggregation efficiency.
AB - The maturation of blockchain technology has spurred a growing scholarly interest in Decentralized Identity (DID) within the industry. Existing decentralized identity solutions have been extensively applied and deeply researched in blockchain scenarios. However, blockchain-based decentralized digital identity still encounters significant hurdles, including issues related to limited consensus scalability, subpar authentication efficiency, and burdensome storage requirements. In this work, we propose a Verifiable Dispersal Consensus and identity Aggregation-based DID (VDCA-DID) model, which incorporates content aggregation and signature aggregation to enhance identity authentication efficiency. Moreover, in VDCA-DID, the trusted components and verifiable dispersal-based BFT Consensus protocol is employed to maintain consensus stability even in the presence of network fluctuations, achieving node agreement in asynchronous networks. This paper analyzes and evaluates VDCA-DID from the aspects of correctness and security to ensure the consensus robustness within asynchronous networks. Our experiment evaluations have demonstrated that the proposed model can increase the identity aggregation efficiency.
KW - BFT protocol
KW - decentralized identity
KW - identity aggregation
KW - trusted components
KW - verifiable dispersal
UR - http://www.scopus.com/inward/record.url?scp=85191684192&partnerID=8YFLogxK
U2 - 10.1109/HDIS60872.2023.10499582
DO - 10.1109/HDIS60872.2023.10499582
M3 - Conference contribution
AN - SCOPUS:85191684192
T3 - 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
SP - 204
EP - 211
BT - 2023 International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023
Y2 - 6 December 2023 through 8 December 2023
ER -