A High Capacity Multi-Level Approach for Reversible Data Hiding in Encrypted Images

Ge, Haoli; Chen, Yan; Qian, Zhenxing; Wang, Jianjun

doi:10.1109/tcsvt.2018.2863029

Cited by 77 publications

(49 citation statements)

References 34 publications

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“…In the case of using permutation keys, the size of the key is much larger. In [24], when using the permutation key to scramble sub-blocks, the total key space can achieve [25], in addition to the block permutation key, the sub-permutation key is used to scramble the pixels in sub-blocks. The total key space reaches…”

Section: Performance Comparisonmentioning

confidence: 99%

Reversible data hiding in encrypted images for coding channel based on adaptive steganography

Chen

Wang

et al. 2020

IET image process

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In this study, a novel reversible data hiding (RDH) in encrypted domain scheme for coding channel based on slidingblock segmentation and adaptive steganography is proposed. The proposed scheme enriches the residual information with as little additional encryption information as possible to improve the testing error rate of a steganalyser by sliding-block segmentation with bit stream encryption. The specific encryption process effectively weakens the correlation between the adjacent pixels and minimises the size of key stream bits. The encryption key can be further embedded in the channel code stream before transmitted in the channel. Experimental analysis shows that the image encrypted by the proposed RDH scheme can achieve a peak-signal-to-noise ratio of >50 dB, as the payload is 0.5 bits per pixel (bpp). In terms of security performance, compared with the state-of-the-art methods, their method has a higher testing error rate when the steganalyser is utilised. Even if the payload is 0.5 bpp, the testing error rate is >0.25.

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Section: Performance Comparisonmentioning

confidence: 99%

Reversible data hiding in encrypted images for coding channel based on adaptive steganography

Chen

Wang

et al. 2020

IET image process

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“…Next, we compare our scheme with other relevant methods [7,11,15,24,25,26 ] in embedding capacity. Chen et al [11] also reserved the embedding room using a reversible integer transformation, and it is also a SOK-type scheme.…”

Section: Comparison Experiments and Analysismentioning

confidence: 99%

“…Di et al [25] used the bitplane operation and adaptive embedding method to improve the embedding capacity of the existing schemes. Scheme [24] divided the encrypted image into blocks and embedded the secret data in each block using the histogram shifting method. Huang [26] combined the MED prediction and specific encryption algorithm to reserve the embedding room for data embedding in the encryption processing and obtained a higher embedding capacity than the above schemes.…”

Section: Comparison Experiments and Analysismentioning

confidence: 99%

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Reversible Data Hiding in Encrypted Images Based on Reversible Integer Transformation and Quadtree-Based Partition

Chen

Chang

2020

IEEE Access

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This paper presents an improved secure reversible data hiding scheme in encrypted images based on integer transformation, which does not need using a data hider key to protect the embedded secret data. We first segment the original image into blocks of various sizes based on the quadtree-based image partition. For each block, we reserve m least significant bits (LSBs) of each pixel as embedding room based on the reversible integer transformation. In order to improve the security of the image encryption, we pad the mLSBs of each pixel using the corresponding (8-m) most significant bits (MSBs) information after the transformation, which protects the security of the encryption key. Then, we encrypt the transformed image with a standard stream cipher. After the image encryption, the data hider embeds the secret data in the mLSBs of the encrypted images through an exclusive or operation. On the receiving side, the receiver can extract the secret data after the image decryption and recover the original image without loss of quality. The security analysis shows that the proposed scheme improves the security weakness of the scheme directly using adaptive integer transformation. The experimental results show that the proposed method achieves a higher embedding ratio compared with several relevant methods. INDEX TERMS Data hiding, encrypted images, integer transformation, quadtree. SISHENG CHEN Shan Dong University, in 2005, and the M.S. degree in applied mathematics from Fujian Normal University, in 2008. He is currently pursuing the Ph.D. degree in information engineering and computer science, Feng Chia University, Taiwan. He is also a Lecturer with the Fuqing Branch of Fujian Normal University interests include multimedia security and CHIN-CHEN CHANG applied mathematics and the M.Sc. degree in computer and decision sciences from National Tsing Hua University, and the Ph.D. degree in computer engineering from National Chiao Tung University. He was with National Chung Cheng 1989 to 2005. He has been the Chair Professor with the

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“…Data hiding (also called data embedding or information hiding) embeds secret data imperceptibly into a cover media, such as a video, a piece of audio, an image, etc. Since 1990s, a variety of data hiding techniques have been performing a growingly important role in privacy protection, copyright, and so on [1]- [12], [49], [50]. Traditional data hiding is usually irreversible, and the embedding process brings permanent distortion to the original host image, which is unacceptable in circumstances where a complete reconstruction of the original host image and verification of data are required, such as encrypted data annotation in the cloud environment, remote medical diagnostic and judicial forensics, and so on.…”

Section: Introductionmentioning

confidence: 99%

High Capacity Reversible Data Hiding for VQ-Compressed Images Based on Difference Transformation and Mapping Technique

Chang

2020

IEEE Access

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In this paper, two reversible data hiding (RDH) methods for vector quantization (VQ)-compressed images are presented. In the first method, the difference-index table instead of the standard-index table is designed, and all difference indices are then classified into two groups, i.e., the tobe-mapped group and the candidate group, according to the occurrence frequencies of them. Afterwards, the mapping table between those two groups is adaptively constructed and used to serve for data embedding. Furthermore, another joint method is conducted by combining the standard-index based method and the difference-index based method, resulting in a better embedding performance. The experimental results confirm that both proposed methods, especially the joint method, are significantly superior to the most recent schemes in terms of the embedding capacity, bitrate and embedding rate. INDEX TERMS Reversible data hiding, vector quantization, difference index, mapping.

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A High Capacity Multi-Level Approach for Reversible Data Hiding in Encrypted Images

Cited by 77 publications

References 34 publications

Reversible data hiding in encrypted images for coding channel based on adaptive steganography

Reversible data hiding in encrypted images for coding channel based on adaptive steganography

Reversible Data Hiding in Encrypted Images Based on Reversible Integer Transformation and Quadtree-Based Partition

High Capacity Reversible Data Hiding for VQ-Compressed Images Based on Difference Transformation and Mapping Technique

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