TY - GEN
T1 - Relationship Sharing-based Trustworthy Verifiable Multi-Party Verification in Decentralized Identity
AU - Zhang, Yuqing
AU - Gai, Keke
AU - Yu, Jing
AU - Ding, Kai
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Decentralized Identity (DID) management is pivotal for data security and privacy-preserving in the digital era, yet existing systems face critical challenges, including single point of failure, privacy leakage, and high computational overhead. To address these limitations, this paper proposes a multi-party verifiable trust validation mechanism based on Verifiable Relation Sharing (VRS). The mechanism skillfully integrates Multi-Verifier Zero-Knowledge proofs (MVZK) with Verifiable Secret Sharing (VSS) to securely share secret attribute vectors among multiple verifiers. This enables the generation of Zero-Knowledge Proof (ZKP) of relationships without revealing the actual data. This mechanism ensures that each verifier obtains partial information, thereby effectively defending against single-point attacks, and reducing computational and communication costs through distributed verification. Experimental results confirm the practicality within DID ecosystems, offering a scalable and privacy-preserving solution for multi-party verification and a foundational framework for secure DID verification in blockchain.
AB - Decentralized Identity (DID) management is pivotal for data security and privacy-preserving in the digital era, yet existing systems face critical challenges, including single point of failure, privacy leakage, and high computational overhead. To address these limitations, this paper proposes a multi-party verifiable trust validation mechanism based on Verifiable Relation Sharing (VRS). The mechanism skillfully integrates Multi-Verifier Zero-Knowledge proofs (MVZK) with Verifiable Secret Sharing (VSS) to securely share secret attribute vectors among multiple verifiers. This enables the generation of Zero-Knowledge Proof (ZKP) of relationships without revealing the actual data. This mechanism ensures that each verifier obtains partial information, thereby effectively defending against single-point attacks, and reducing computational and communication costs through distributed verification. Experimental results confirm the practicality within DID ecosystems, offering a scalable and privacy-preserving solution for multi-party verification and a foundational framework for secure DID verification in blockchain.
KW - Blockchain
KW - Distributed Digital Identity
KW - Multi-Verifier Zero-Knowledge Proofs
KW - Verifiable Relation Sharing
KW - Verifiable Secret Sharing
UR - https://www.scopus.com/pages/publications/105007519302
U2 - 10.1109/BigDataSecurity66063.2025.00031
DO - 10.1109/BigDataSecurity66063.2025.00031
M3 - Conference contribution
AN - SCOPUS:105007519302
T3 - Proceedings - 2025 IEEE 11th Conference on Big Data Security on Cloud, BigDataSecurity 2025
SP - 173
EP - 179
BT - Proceedings - 2025 IEEE 11th Conference on Big Data Security on Cloud, BigDataSecurity 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Big Data Security on Cloud, BigDataSecurity 2025
Y2 - 9 May 2025 through 11 May 2025
ER -