3D Object Watermarking from Data Hiding in the Homomorphic Encrypted Domain

Author:

van Rensburg Bianca Jansen1ORCID,Puteaux Pauline2ORCID,Puech William1ORCID,Pedeboy Jean-Pierre3ORCID

Affiliation:

1. LIRMM, Université de Montpellier, CNRS

2. CRIStAL, CNRS, Univ. Lille, Centrale Lille

3. Stratégies

Abstract

For over a decade, 3D objects are an increasingly popular form of media. It has become necessary and urgent to secure them during their transmission or archiving. In this article, we propose a new method to obtain a watermarked 3D object from high-capacity data hiding in the encrypted domain. Based on the homomorphic properties of the Paillier cryptosystem, our proposed method allows us to embed several secret messages in the encrypted domain with a high-capacity. These messages can be extracted in the plain-text domain after the 3D object decryption. To the best of our knowledge, we are the first to propose a data hiding method in the encrypted domain where the high-capacity watermark is conserved in the plain-text domain after the 3D object is decrypted. The encryption and the data hiding in the encrypted domain are format compliant and without size expansion, despite the use of the Paillier cryptosystem. Each time a new message is embedded in the encrypted domain, flags are added in order to indicate which blocks are still available for the embedding of additional messages. After the decryption of a watermarked encrypted 3D object, our method produces a watermarked 3D object which is visually very similar to the original 3D object. From the decrypted watermarked 3D object, we can then extract all the embedded messages directly in the plain-text domain, without the need for an auxiliary file. Moreover, large keys are used, rending our method secure for real-life applications.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MSB-Based Reversible Data-Hiding in Encrypted 3D Object Using a Hamiltonian Path;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27

2. A Dual Blind Watermarking Method for 3D Models Based on Normal Features;Entropy;2023-09-22

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