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Circuitree: A Datalog Reasoner in Zero-Knowledge

Driven by the increased consciousness in data ownership and privacy, zero-knowledge proofs (ZKPs) have become a popular tool to convince a third party of the truthfulness of a statement without disclosing any further information. As ZKPs are rather complex to design, frameworks that transform high-l...

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Bibliographic Details
Published in:IEEE access 2022-01, Vol.10, p.21384-21396
Main Authors: Godden, Tom, Smet, Ruben De, Debruyne, Christophe, Vandervelden, Thibaut, Steenhaut, Kris, Braeken, An
Format: Article
Language:English
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Summary:Driven by the increased consciousness in data ownership and privacy, zero-knowledge proofs (ZKPs) have become a popular tool to convince a third party of the truthfulness of a statement without disclosing any further information. As ZKPs are rather complex to design, frameworks that transform high-level languages into ZKPs have been proposed. We propose Circuitree, a Datalog reasoner in zero-knowledge. Datalog is a high-level declarative logic language that is generally used for querying. Furthermore, as a logic language, it can also be used to solve logic problems. An application using Circuitree can efficiently generate ZKPs, based on Datalog rules and encrypted data, to prove that a certain conclusion follows from a Datalog ruleset and encrypted input data. Compared to existing frameworks, which generally use their own limited imperative languages, Circuitree uses an existing high-level declarative language. We point out several applications for Circuitree, including EU Digital COVID Certificates and privacy-preserving access control for peer-to-peer (p2p) networks. Circuitree's performance is evaluated for access control in a p2p network. First results show that our approach allows for fast proofs and proof verification for this application.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3153366