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Main Authors: Bogdanov, Dan, Brito, Eduardo, Jaakson, Annika, Laud, Peeter, Rebane, Raul-Martin
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.16812
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author Bogdanov, Dan
Brito, Eduardo
Jaakson, Annika
Laud, Peeter
Rebane, Raul-Martin
author_facet Bogdanov, Dan
Brito, Eduardo
Jaakson, Annika
Laud, Peeter
Rebane, Raul-Martin
contents This paper introduces a new set of privacy-preserving mechanisms for verifying compliance with location-based policies for vehicle taxation, or for (electric) vehicle (EV) subsidies, using Zero-Knowledge Proofs (ZKPs). We present the design and evaluation of a Zero-Knowledge Proof-of-Location (ZK-PoL) system that ensures a vehicle's adherence to territorial driving requirements without disclosing specific location data, hence maintaining user privacy. Our findings suggest a promising approach to apply ZK-PoL protocols in large-scale governmental subsidy or taxation programs.
format Preprint
id arxiv_https___arxiv_org_abs_2506_16812
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Zero-Knowledge Proof-of-Location Protocols for Vehicle Subsidies and Taxation Compliance
Bogdanov, Dan
Brito, Eduardo
Jaakson, Annika
Laud, Peeter
Rebane, Raul-Martin
Cryptography and Security
This paper introduces a new set of privacy-preserving mechanisms for verifying compliance with location-based policies for vehicle taxation, or for (electric) vehicle (EV) subsidies, using Zero-Knowledge Proofs (ZKPs). We present the design and evaluation of a Zero-Knowledge Proof-of-Location (ZK-PoL) system that ensures a vehicle's adherence to territorial driving requirements without disclosing specific location data, hence maintaining user privacy. Our findings suggest a promising approach to apply ZK-PoL protocols in large-scale governmental subsidy or taxation programs.
title Zero-Knowledge Proof-of-Location Protocols for Vehicle Subsidies and Taxation Compliance
topic Cryptography and Security
url https://arxiv.org/abs/2506.16812