A Universal Reversible Data Hiding Method in Encrypted Image Based on MSB Prediction and Error Embedding

Gao, Guangyong; Tong, Shikun; Xia, Zhihua; Shi, Yun Q.

doi:10.1109/tcc.2022.3155744

Cited by 13 publications

(4 citation statements)

References 39 publications

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“…The decrease in prediction accuracy results in a lower embedding rate for Baboon images, which have a rougher texture. Furthermore, figure 15 reveals that the embedding rate of the scheme proposed in literature [22] is notably lower than those of other schemes. This is primarily due to the fact that the scheme falls under the VRAE category, where the spatial redundancy of encrypted images is relatively low, consequently resulting in a lower embedding rate.…”

Section: Comparisons Of Embedding Ratementioning

confidence: 93%

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Designing five-dimensional non-degeneracy chaotic system and its application in reversible data hiding

Ye,

Tong,

Zhang

et al. 2024

Phys. Scr.

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The application of privacy protection techniques combining chaotic systems with data hiding has attracted considerable attention in recent years. However, the existing schemes have been found to be defective in terms of security and embedding capacity. This paper proposes a construction method for a 5-dimensional non-degeneracy chaotic system (5D-NDCS) to address the shortcomings of the previous approach. The 5D-NDCS possesses five positive Lyapunov exponents, and each dimension can generate chaotic sequences with strong randomness. Utilizing the pseudo-random sequence generated by the 5D-NDCS to encrypt the compressed image can enhance the security of the encrypted image. Subsequently, this paper introduces a joint bit-plane compression (JBPC) algorithm, which is based on the chaotic system and pixel value prediction technique. This algorithm effectively utilizes the pixel correlation of the original image to compress the bit sequence sufficiently, thereby reserving the hiding space. Finally, this paper proposes a reversible data hiding in encrypted images (RDHEI) scheme that supports multiple data hiders, based on the JBPC algorithm. The experimental results demonstrate the scheme's advantages in terms of embedding rate, security, and fault tolerance.

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Section: Comparisons Of Embedding Ratementioning

confidence: 93%

“…There are two primary research methods in RDHEI: Vacating Room After Encryption (VRAE) [17][18][19] and Reserving Room Before Encryption (RRBE) [20][21][22]. The basic idea of RDHEI using VRAE is to encrypt the original image first and then embed the data by modifying small portions of the encrypted data.…”

Section: Introductionmentioning

confidence: 99%

Designing five-dimensional non-degeneracy chaotic system and its application in reversible data hiding

Ye,

Tong,

Zhang

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

“…Consequently, safeguarding the integrity and confidentiality of the information encapsulated within these images has surfaced as a momentous and pressing challenge. To protect the images effectively and prevent the information from being illegally decrypted, researchers have developed many techniques such as image encryption [1][2][3][4] and data hiding [5][6][7][8][9]. Among these techniques, image encryption is the most direct and effective method to convert a source image into an unrecognizable encrypted image [10].…”

Section: Introductionmentioning

confidence: 99%

Color image ROI encryption algorithm based on a novel 4D hyperchaotic system

Wang,

Chen,

Sun

et al. 2023

Phys. Scr.

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The significance of safeguarding the security of image information has escalated significantly, owing to the exponential proliferation of digital images containing sensitive information being disseminated on the Internet. In this paper, we first propose a novel 4D hyperchaotic system and design a new image encryption algorithm in conjunction with the hyperchaotic system. The algorithm uses a split random swap permutation method to permute the image and combines the S-box to diffuse the image. To improve the diffusivity of this encryption algorithm, a cross-random diffusion method is designed to diffuse the image again. Then, we propose a region of interest (ROI) encryption scheme for images. This scheme can automatically identify irregular privacy targets in images and encrypt them. To ensure the security of the region of interest location information during transmission, the scheme compresses the location information of the privacy target using a run-length encoding technique and then embeds the compressed data into the ciphertext image using reversible steganography based on histogram shift. The experimental results and security analysis unequivocally demonstrate that the image encryption algorithm proposed in this paper exhibits robust resistance against a wide array of attacks, thereby ensuring a high level of security. Additionally, the devised image ROI encryption scheme effectively safeguards diverse privacy targets.

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“…Others design specific reversible image transformation schemes to convert a plaintext image into another image with a high degree of redundancy, directly using plaintext image-based RDH methods to embed secret data [42,43]. In [44], the image is divided into blocks, which are categorized into three different types, and then different encoding schemes are used on the blocks to vacate room. In [45], a block-level encryption algorithm based on a chaotic system is used, and an adaptive-layer MSB substitution scheme is used for reversible data hiding.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images Based on Two-Round Image Interpolation

Zhang,

Chen

2023

Mathematics

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The data embedding of vacating room after encryption reversible data hiding in encrypted images (VRAE RDHEI) is performed on an encrypted image without redundancy and spatial correlation. Data extraction and image recovery rely on a range of unique mechanisms that utilize spatial correlation in the decrypted domain. Of these mechanisms, pixel prediction is among the most frequently used, directly affecting the capacity and fidelity. In this paper, we propose a novel method that uses a two-round interpolation mechanism to enhance pixel prediction precision while preserving a large number of carrier pixels. In the proposed method, the content owner uses a stream cipher to encrypt the image as a carrier. The data hider flips specific LSBs of the encrypted image for data embedding. On the receiver side, the process of data extraction and image recovery is divided into two stages. In each stage, based on the varying distributions of the original or recovered pixels with the carrier pixels, the corresponding pixel interpolation schemes are used to accurately predict the pixels for data extraction and image recovery. The results demonstrate that the proposed method can efficiently improve the capacity and fidelity with full reversibility compared to existing VRAE RDHEI methods.

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A Universal Reversible Data Hiding Method in Encrypted Image Based on MSB Prediction and Error Embedding

Cited by 13 publications

References 39 publications

Designing five-dimensional non-degeneracy chaotic system and its application in reversible data hiding

Designing five-dimensional non-degeneracy chaotic system and its application in reversible data hiding

Color image ROI encryption algorithm based on a novel 4D hyperchaotic system

Reversible Data Hiding in Encrypted Images Based on Two-Round Image Interpolation

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