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 \textsf {WK} in the universal composability framework. We implement three applications that seamlessly integrate with WK. Experimental results indicate that \textsf {WK} effectively liberates sensitive data from distributed, untrusted, and anonymous providers, making it accessible to various services and establishing trust in a decentralized world.
| Original language | English |
|---|---|
| Pages (from-to) | 10818-10833 |
| Number of pages | 16 |
| Journal | IEEE Transactions on Information Forensics and Security |
| Volume | 20 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
Keywords
- Blockchain
- TEE
- faithful data feeds
- security
- verifiable computation
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