A Novel Reversible Data Hiding Method for 3D Model in Homomorphic Encryption Domain

Luo, Ting; Li, Li; Zhang, Shanqin; Wang, Shenxian; Gu, Wei Jie

doi:10.3390/sym13061090

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…Robust watermarking algorithms based on global features embed watermarking information into global feature quantities in the geometric domain, such as histogram offset and region error expansion [20][21][22][23]. For example, Jang et al divided the mesh in a 3D mesh model into several segments based on the shape diameter function (SDF) and then used the histogram mapping function to embed the watermark into each segment [23].…”

Section: Introductionmentioning

confidence: 99%

Robust Watermarking Algorithm for Building Information Modeling Based on Element Perturbation and Invisible Characters

Zhou,

Zhu,

Ren

2023

Applied Sciences

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With the increasing ease of building information modeling data usage, digital watermarking technology has become increasingly crucial for BIM data copyright protection. In response to the problem that existing robust watermarking methods mainly focus on BIM exchange formats and cannot adapt to BIM data, a novel watermarking algorithm specifically designed for BIM data, which combines element perturbation and invisible character embedding, is proposed. The proposed algorithm first calculates the centroid of the enclosing box to locate the elements, and establishes a synchronous relationship between the element coordinates and the watermarked bits using a mapping mechanism, by which the watermarking robustness is effectively enhanced. Taking into consideration both data availability and the need for watermark invisibility, the algorithm classifies the BIM elements based on their mobility, and perturbs the movable elements while embedding invisible characters within the attributes of the immovable elements. Then, the watermark information after dislocation is embedded into the data. We use building model and structural model BIM data to carry out the experiments, and the results demonstrate that the signal-to-noise ratio and peak signal-to-noise ratio before and after watermark embedding are both greater than 100 dB. In addition, the increased information redundancy accounts for less than 0.15% of the original data., which means watermark embedding has very little impact on the original data. Additionally, the NC coefficient of watermark extraction is higher than 0.85 when facing attacks such as translation, element addition, element deletion, and geometry–property separation. These findings indicate a high level of imperceptibility and robustness offered by the algorithm. In conclusion, the robust watermarking algorithm for BIM data fulfills the practical requirements and provides a feasible solution for protecting the copyright of BIM data.

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Section: Introductionmentioning

confidence: 99%

Robust Watermarking Algorithm for Building Information Modeling Based on Element Perturbation and Invisible Characters

Zhou,

Zhu,

Ren

2023

Applied Sciences

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“…Literature Survey. Ting Luo et al [11] developed the novel Reversible Data Hiding Method for the 3D Model based on the process of homomorphic encryption. The homomorphic Paillier cryptosystem was used to perform the 3D model encryption.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Hyper Chaotic Map with LSB for Image Encryption and Decryption

Shankar

Nandini

2022

SCPE

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There are number of images that transmitted through the web for various usages like medical imaging, satellite images, military database, broadcasting, confidential enterprise, banking, etc. Thus, it is important to protect the images confidentially by securing sensitive information from an intruder. The present research work proposes a Hybrid Hyper Chaotic Mapping that considers a3D face Mesh model for hiding the secret image. The model has a larger range of chaotic parameters which are helpful in the chaotification approaches. The proposed system provides excellent security for the secret image through the process of encryption and decryption. The encryption of the secret image is performed by using chaos encryption with hyper hybrid mapping. The hyper hybrid mapping includes enhanced logistic and henon mapping to improve the computation efficiency for security to enhance embedding capacity. In the experiment Fingerprint and satellite image is used as secret image. The secret image is encrypted using a Least Significant Bit (LSB) for embedding an image. The results obtained by the proposed method showed better enhancements in terms of SNR for the 3D Mesh model dataset as 77.85 dB better compared to the existing models that achieved Reversible data hiding in the encrypted domain (RDH-ED) of 33.89 dB and Multiple Most Significant Bit (Multi-MSB) 40 dB. Also, the results obtained by the proposed Hybrid Hyper chaotic mapping showed PSNR of 65.73 dB better when compared to the existing Permutation Substitution and Boolean Operation that obtained 21.19 dB and 21.27 dB for the Deoxyribonucleic Acid (DNA) level permutation-based logistic map.

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A Recent Survey of Reversible Data Hiding Techniques for 2D and 3D Object Models

Verma,

Agarwal,

Borah

2023

Algorithms for Intelligent Systems

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A Novel Reversible Data Hiding Method for 3D Model in Homomorphic Encryption Domain

Cited by 7 publications

References 44 publications

Robust Watermarking Algorithm for Building Information Modeling Based on Element Perturbation and Invisible Characters

Robust Watermarking Algorithm for Building Information Modeling Based on Element Perturbation and Invisible Characters

Hybrid Hyper Chaotic Map with LSB for Image Encryption and Decryption

A Recent Survey of Reversible Data Hiding Techniques for 2D and 3D Object Models

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