HeRZ: Hierarchical Recursive Zero-Knowledge Verification for Canonical and Auditable Asset-State Evolution in Blockchain-Cyber-Physical Systems

Blockchain-Cyber-Physical Systems (BCPSs) use sensor-generated IoT events to update ledger representations of physical assets. Authenticating individual reports does not by itself establish an admissible trajectory from the canonical predecessor or authenticate a selected historical interval. We formulate Verifiable State-Evolution Integrity (VSEI): accepted states must be reachable through ordered, device-bound, policy-compliant trajectories. HeRZ realizes this requirement through a BCPS-specific relation combining event authentication, physical guards, deterministic updates, and temporal linkage. Recursive folding preserves the relation in a fixed-width incremental proof state, while a KZG/Groth16 Decider exposes the interval boundaries. A stateful EVM wrapper atomically consumes the canonical predecessor for forward settlement and verifies retained intervals between anchored checkpoints without publishing intermediate event records. The implementation supports both paths, producing 384-byte compressed proofs and 1156-byte settlement calldata. Mean complete online peak memory remains 27.92–28.68 GiB over 100–2000 events. At 2000 events, HeRZ reduces peak memory by 34.1% relative to the equivalent stateful FlatZK baseline, at 3.63 times its online time. Layered tests and anchored audits validate the implemented state semantics. One parameter set and deployed verifier accept different interval lengths, supporting incremental construction and selective historical auditing within a fixed protocol version. HeRZ thus provides an executable path from authenticated sensor events to canonically settled and retrospectively auditable asset histories.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2026-09-30
DOI
https://doi.org/10.3390/s26196226
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

HeRZ: Hierarchical Recursive Zero-Knowledge Verification for Canonical and Auditable Asset-State Evolution in Blockchain-Cyber-Physical Systems

Siu‐Yeung Cho, Ningyuan Chen, Zheng Yu, Yibei Lin
Sensors
Security and Verification in Computing
article

HeRZ: Hierarchical Recursive Zero-Knowledge Verification for Canonical and Auditable Asset-State Evolution in Blockchain-Cyber-Physical Systems

Siu‐Yeung Cho, Ningyuan Chen, Zheng Yu, Yibei Lin
article en

Abstract

Blockchain-Cyber-Physical Systems (BCPSs) use sensor-generated IoT events to update ledger representations of physical assets. Authenticating individual reports does not by itself establish an admissible trajectory from the canonical predecessor or authenticate a selected historical interval. We formulate Verifiable State-Evolution Integrity (VSEI): accepted states must be reachable through ordered, device-bound, policy-compliant trajectories. HeRZ realizes this requirement through a BCPS-specific relation combining event authentication, physical guards, deterministic updates, and temporal linkage. Recursive folding preserves the relation in a fixed-width incremental proof state, while a KZG/Groth16 Decider exposes the interval boundaries. A stateful EVM wrapper atomically consumes the canonical predecessor for forward settlement and verifies retained intervals between anchored checkpoints without publishing intermediate event records. The implementation supports both paths, producing 384-byte compressed proofs and 1156-byte settlement calldata. Mean complete online peak memory remains 27.92–28.68 GiB over 100–2000 events. At 2000 events, HeRZ reduces peak memory by 34.1% relative to the equivalent stateful FlatZK baseline, at 3.63 times its online time. Layered tests and anchored audits validate the implemented state semantics. One parameter set and deployed verifier accept different interval lengths, supporting incremental construction and selective historical auditing within a fixed protocol version. HeRZ thus provides an executable path from authenticated sensor events to canonically settled and retrospectively auditable asset histories.

SensorsVol. 26(19)
Zhejiang Wanli University (CN), Hong Kong Polytechnic University (HK)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Security and Verification in Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

HeRZ: Hierarchical Recursive Zero-Knowledge Verification for Canonical and Auditable Asset-State Evolution in Blockchain-Cyber-Physical Systems — Siu‐Yeung Cho, Ningyuan Chen, et al. · Sensors (2026) | TGRS Research Map | TGRS