← 研踪 PaperTrailarXiv:2611.04240 · v1
VerfGraph: Efficient Zero-Knowledge Verifiable Graph Query Evaluation System
首次提交 2026-11-03 11:24
版本更新 2026-11-03 11:24
雷达观测 2026-11-04 23:40
摘要
Graph databases are often used to manage relationship-rich data, whose graph structure and attributes may be sensitive. In many applications, a database owner or a service provider evaluates queries over a private graph for a client. Because the graph cannot be fully disclosed and independently re-executing the query may be impractical, the client cannot directly verify the returned result. This creates a need for verifiable graph query evaluation that preserves data confidentiality. We present VerfGraph, a zero-knowledge system for verifiable graph query evaluation, which enables a client to verify that the query result was correctly computed over a committed graph data, without revealing private graph records or intermediate query values beyond the public inputs and what is implied by the query result. Building on the expansion-centric model introduced by the state-of-the-art zero-knowledge verifiable graph query evaluation system ZKGraph (ICDE'26), VerfGraph achieves more efficient and expressive zero-knowledge verifiable graph query evaluation by advancing design in two key ways. First, we propose novel operator-proof methods for core expansion and shortest-path operations that reduce costly sorting and comparison checks and eliminate edge canonicalization for bidirectional expansion. Furthermore, we introduce correctness proofs for count and weighted shortest-path operators, broadening the class of graph queries that can be verified. We evaluate VerfGraph using the LDBC Social Network Benchmark. Compared with ZKGraph on complex IC queries, VerfGraph achieves $33.9\times$-$59.7\times$ speedups in proof generation and reduces peak prover memory by factors of $4.5\times$-$6.6\times$, while maintaining millisecond-level verification and producing sub-MB proofs.
作者备注：13 pages, 3 figures, 7 tables
观测到的版本
相邻记录可能跳过中间版本；首次发现 v2 及以上也会标为版本更新。
v1 · 2026-11-03 11:24 · 最新观测版本
VerfGraph: Efficient Zero-Knowledge Verifiable Graph Query Evaluation System
Graph databases are often used to manage relationship-rich data, whose graph structure and attributes may be sensitive. In many applications, a database owner or a service provider evaluates queries over a private graph for a client. Because the graph cannot be fully disclosed and independently re-executing the query may be impractical, the client cannot directly verify the returned result. This creates a need for verifiable graph query evaluation that preserves data confidentiality. We present VerfGraph, a zero-knowledge system for verifiable graph query evaluation, which enables a client to verify that the query result was correctly computed over a committed graph data, without revealing private graph records or intermediate query values beyond the public inputs and what is implied by the query result. Building on the expansion-centric model introduced by the state-of-the-art zero-knowledge verifiable graph query evaluation system ZKGraph (ICDE'26), VerfGraph achieves more efficient and expressive zero-knowledge verifiable graph query evaluation by advancing design in two key ways. First, we propose novel operator-proof methods for core expansion and shortest-path operations that reduce costly sorting and comparison checks and eliminate edge canonicalization for bidirectional expansion. Furthermore, we introduce correctness proofs for count and weighted shortest-path operators, broadening the class of graph queries that can be verified. We evaluate VerfGraph using the LDBC Social Network Benchmark. Compared with ZKGraph on complex IC queries, VerfGraph achieves $33.9\times$-$59.7\times$ speedups in proof generation and reduces peak prover memory by factors of $4.5\times$-$6.6\times$, while maintaining millisecond-level verification and producing sub-MB proofs.
查看此版本解读 →查看此版本原文 ↗