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Multi-Instance Zero-Watermarking Algorithm for Vector Geographic Data

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Publicado en:ISPRS International Journal of Geo-Information vol. 14, no. 2 (2025), p. 54
Autor principal: Zhou, Qifei
Otros Autores: Lin, Yan, Wang, Zihao, Ren, Na, Zhu, Changqing
Publicado:
MDPI AG
Materias:
Object oriented programming
Construction
Data integrity
Algorithms
Digital watermarks
Copyright
Compression
Deformation
Methods
Watermarking
Robustness
Triangles
Acceso en línea:Citation/Abstract
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Resumen:To address the variability and complexity of attack types, this paper proposes a multi-instance zero-watermarking algorithm that goes beyond the conventional one-to-one watermarking approach. Inspired by the class-instance paradigm in object-oriented programming, this algorithm constructs multiple zero watermarks from a single vector geographic dataset to enhance resilience against diverse attacks. Normalization is applied to eliminate dimensional and deformation inconsistencies, ensuring robustness against non-uniform scaling attacks. Feature triangle construction and angle selection are further utilized to provide resistance to interpolation and compression attacks. Moreover, angular features confer robustness against translation, uniform scaling, and rotation attacks. Experimental results demonstrate the superior robustness of the proposed algorithm, with normalized correlation values consistently maintaining 1.00 across various attack scenarios. Compared with existing methods, the algorithm exhibits superior comprehensive robustness, effectively safeguarding the copyright of vector geographic data.
ISSN:2220-9964
DOI:10.3390/ijgi14020054
Fuente:Advanced Technologies & Aerospace Database