A Verifiable Dispersal Consensus and Identity Aggregation-Based Trustworthy Decentralized Identity Governance

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 authen-tication efficiency, and burdensome storage requirements. In this work, we propose a Verifiable Dispersal Consensus and identity Aggregation-based DID (VDCA-DID) model, which incor-porates content aggregation and signature aggregation to enhance identity authentication efficiency. Moreover, in VDCA-DID, the trusted components and verifiable dispersal-based BFT Consen-sus 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 aggreaation efficiency.
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This work is partially supported by the National Key Research and Development Program of China (Grant No. 2021YFB2701300), National Natural Science Foundation of China (Grant No. 62372044), and the Defense Industrial Technology Development Program (Grant No. JCKY2020206C058).
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*Corresponding author.