Vector Tile Geospatial Data Protection Using Quantization-Based Watermarking

Danila Glazkov, Danila Glazkov, Nikolay Chupshev, Nikolay Chupshev, Victor Fedoseev, Victor Fedoseev

2023

Abstract

The paper proposes a watermarking method for protecting geodata presented in the Mapbox Vector Tile (MVT) format against theft. MVT is an open format that is gaining popularity in web mapping services due to efficient storage and fast rendering. However, the vector nature of the format makes it an easy target for attackers who want to steal data and use in their services. The method proposed in this paper protects MVT data with a digital watermark based on re-quantization of point coordinates of object geometry. The method can be adjusted using a number of parameters that allow finding a balance between the robustness of the digital watermark to map distortions and the error introduced when embedding. A series of experiments performed showed the robustness of this method to several distortions: removal of some objects and layers, reduction in the number of points of existing objects, addition of new objects, controlled shift of points in the tile geometry. With a proper choice of the watermark parameters, even with a moderate level of each of the listed distortions, which does not lead to a loss of significance of the protected geodata, the method can reach 100% watermark extraction accuracy of all bits of the built-in watermark.

Paper Citation

in Harvard Style

Glazkov D., Chupshev N. and Fedoseev V. (2023). Vector Tile Geospatial Data Protection Using Quantization-Based Watermarking. In Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-649-1, SciTePress, pages 251-258. DOI: 10.5220/0012044500003473

in Bibtex Style

@conference{gistam23,
author={Danila Glazkov and Nikolay Chupshev and Victor Fedoseev},
title={Vector Tile Geospatial Data Protection Using Quantization-Based Watermarking},
booktitle={Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2023},
pages={251-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012044500003473},
isbn={978-989-758-649-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Vector Tile Geospatial Data Protection Using Quantization-Based Watermarking
SN - 978-989-758-649-1
AU - Glazkov D.
AU - Chupshev N.
AU - Fedoseev V.
PY - 2023
SP - 251
EP - 258
DO - 10.5220/0012044500003473
PB - SciTePress