Homomorphic encryption domain asymmetric fingerprinting scheme for 3D models of oblique photography

Author:

Liu Shuaikang123,Zhang Liming123ORCID,Tan Tao123,Wang Lei123,Wang Pengbin123,Zhang Ziyi123,Zhang Mingwang124

Affiliation:

1. Faculty of Geomatics Lanzhou Jiaotong University Lanzhou China

2. National Local Joint Engineering Research Center of Technologies and Application for National Geographic State Monitoring Lanzhou China

3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring Lanzhou China

4. Zhangye Big Data Administration Zhangye China

Abstract

AbstractExisting copyright protection schemes for 3D models of oblique photography predominantly utilize digital watermarking technology, most of which suffer from shortcomings such as the potential false accusation of legitimate users and the inability to effectively trace unauthorized distributors. In response to these challenges, this article proposes a homomorphic encryption domain asymmetric fingerprinting scheme for 3D models of oblique photography. Initially, the fingerprints to be embedded are collaboratively generated by the transacting parties, with the publisher remaining unaware of the user's actual fingerprint. This approach ensures the effective implementation of the asymmetric nature of the fingerprinting scheme. Subsequently, potential geometric and non‐geometric attacks are considered prior to fingerprint embedding. Robustness is enhanced for the proposed solution through relative coordinate transformations and normalization procedures. Ultimately, the embedding and extraction of fingerprints are achieved through the application of an effective bit parity check method, in conjunction with the vertex‐paradigm projection length mapping mechanism and the Paillier homomorphic encryption system, minimizing embedding distortion while ensuring data security. Experimental results demonstrate that the proposed solution exhibits satisfying robustness against common manipulations, such as cropping, simplification, and geometric attacks. Additionally, the scheme effectively safeguards legitimate users from false accusations and accurately traces maliciously authorized users.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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