Paper Info
Title
Circuitree: A Datalog Reasoner in Zero-Knowledge
Abstract
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.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3153366
IEEE ACCESS
Keywords
DocType
Volume
Blockchains, Computer languages, COVID-19, Arithmetic, Logic gates, Licenses, High level languages, Access control, bulletproofs, datalog, privacy, zero-knowledge proof, security, identity management, verifiable computation, blockchain, privacy-enhancing technologies
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Tom Godden100.34
Ruben de Smet221.71
Christophe Debruyne300.34
Thibaut Vandervelden421.71
Kris Steenhaut500.34
An Braeken646853.66