Trust in a Decentralized World: Data Governance From Faithful, Private, Verifiable, and Traceable Data Feeds

Blockchain technology autonomously executes smart contracts that require external data to facilitate specific applications, underscoring the necessity for Authenticated Data Feeds (ADF). Existing solutions fall short in providing genuine authentication of data, lack private and verifiable computations across multiple data sources, and overlook data traceability, rendering current systems inadequate for complex applications. We present WuKong (WK), a data governance system that offers authenticated, privately verifiable, and traceable data feeds. WK enables a server to collect faithful data through an oracle committee and to prove computation correctness in zero-knowledge proofs, and empowers legal entities to trace a leakage source conditionally. We formally define and prove the security of WK in the universal composability framework. We implement three applications that seamlessly integrate with WK. Experimental results indicate that WK effectively liberates sensitive data from distributed, untrusted, and anonymous providers, making it accessible to various services and establishing trust in a decentralized world.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3615705
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
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article

Trust in a Decentralized World: Data Governance From Faithful, Private, Verifiable, and Traceable Data Feeds

Guixin Ye, Mauro Conti, Zijian Zhang, Meng Li et al.
IEEE Transactions on Information Forensics and Security
Privacy-Preserving Technologies in Data
article

Trust in a Decentralized World: Data Governance From Faithful, Private, Verifiable, and Traceable Data Feeds

Guixin Ye, Mauro Conti, Zijian Zhang, Meng Li, Yifei Chen, Liehuang Zhu, Yan Qiao
article en

Abstract

Blockchain technology autonomously executes smart contracts that require external data to facilitate specific applications, underscoring the necessity for Authenticated Data Feeds (ADF). Existing solutions fall short in providing genuine authentication of data, lack private and verifiable computations across multiple data sources, and overlook data traceability, rendering current systems inadequate for complex applications. We present WuKong (WK), a data governance system that offers authenticated, privately verifiable, and traceable data feeds. WK enables a server to collect faithful data through an oracle committee and to prove computation correctness in zero-knowledge proofs, and empowers legal entities to trace a leakage source conditionally. We formally define and prove the security of WK in the universal composability framework. We implement three applications that seamlessly integrate with WK. Experimental results indicate that WK effectively liberates sensitive data from distributed, untrusted, and anonymous providers, making it accessible to various services and establishing trust in a decentralized world.

IEEE Transactions on Information Forensics and SecurityVol. 20
Beijing Institute of Technology (CN), University of Padua (IT), Hefei University of Technology (CN), Northwest University (CN)
Openalex Percentile: Top 86%
Privacy-Preserving Technologies in Data
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Trust in a Decentralized World: Data Governance From Faithful, Private, Verifiable, and Traceable Data Feeds — Guixin Ye, Mauro Conti, et al. · IEEE Transactions on Information Forensics and Security (2025) | TGRS Research Map | TGRS