Reversible Data Hiding in Encrypted Image Based on Multi-MSB Embedding Strategy

Wang, Dewang; Zhang, Xianquan; Yu, Chunqiang; Tang, Zhenjun

doi:10.3390/app10062058

Cited by 3 publications

(6 citation statements)

References 38 publications

(116 reference statements)

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“…To verify the performance, the maximum embedding capacity is compared with the various algorithms in Table 4. In these algorithms, the maximum embedding rate that can be achieved in works [14,15,18,20,[22][23][24] does not exceed 1 bpp, but it does in works [19,25,34], and the proposed scheme is between 1-2 bpp. Chen et al [19] used block encryption and achieved stable capacity by lossless compression in blocks of 2×2 size.…”

Section: Embedded Capacity Analysismentioning

confidence: 99%

“…The existing RDH-EI schemes are mainly divided into two main categories: vacating room after encryption (VRAE) [14][15][16][17][18][19][20][21][22] and reserving room before encryption (RRBE) [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. They are based on the order in which the hidden room is vacated and image encryption.…”

Section: Introductionmentioning

confidence: 99%

“…Prediction technology is also applied through high performance [28][29][30]. Most significant bit (MSB) prediction was proposed in [31][32][33][34] based on the high correlation of the adjacent pixel values of the cover image, which significantly improves the embedding capacity and the image recovery quality. Interpolation techniques [26,35,36], compression [24,37,38], and HS [39] have also been further studied and applied to encrypted images.…”

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

Liu

Zhou

2023

Applied Sciences

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With the increasing requirements for the security of medical data, military data, and other data transmission, data hiding technology has gradually developed from only protecting the security of secret data to all transmission data. As a necessary technical means, reversible data hiding in encrypted images (RDH-EIs) provides superior performance in terms of security. To simultaneously improve the effectiveness of RDH-EIs, this work proposes a mixed multi-bit layer embedding strategy in encrypted images. The cover image is processed into two categories: available hidden blocks (AHBs) and unavailable hidden blocks (UHBs) at the sender. Then, all data are embedded in the multi-bit layer of the encrypted pixels in AHBs through two embedding strategies to obtain the transmission image. At the receiver, the user can extract the needed data separably according to different keys to achieve error-free extraction of the secret data and lossless recovery of the cover image. The experimental results show that the proposed scheme has the advantages of superior embedding capacity and high decryption quality over the current state-of-the-art works.

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Section: Embedded Capacity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

Liu

Zhou

2023

Applied Sciences

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“…Traditionally, the images are protected by encryption algorithms that convert the original image into an unknown format, such as a noise-like or texture-like format [20][21][22][23]. In this way, it is evident that sensible information is presented in an unknown format, which leads to several tentative attacks.…”

Section: Related Workmentioning

confidence: 99%

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

2023

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Secure transmission of medical images and medical data is essential in healthcare systems, both in telemedicine and AI approaches. The compromise of images and medical data could affect patient privacy and the accuracy of diagnosis. Digital watermarking embeds medical images into a non-significant image before transmission to ensure visual security. However, it is vulnerable to white-box attacks because the embedded medical image can be extracted by an attacker that knows the system’s operation and does not ensure the authenticity of image transmission. A visually secure image encryption scheme for secure fingerprint-based authenticated transmission has been proposed to solve the above issues. The proposed scheme embeds the encrypted medical image, the encrypted physician’s fingerprint, and the patient health record (EHR) into a non-significant image to ensure integrity, authenticity, and confidentiality during the medical image and medical data transmission. A chaotic encryption algorithm based on a permutation key has been used to encrypt the medical image and fingerprint feature vector. A hybrid asymmetric cryptography scheme based on Elliptic Curve Cryptography (ECC) and AES has been implemented to protect the permutation key. Simulations and comparative analysis show that the proposed scheme achieves higher visual security of the encrypted image and higher medical image reconstruction quality than other secure image encryption approaches.

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“…In [9], Wang et al proposed a RDHEI based on multi-MSB embedding strategy. Through experimentation, they demonstrated that their approach can achieve an average ER of 1.721 bpp for the BOW-2 database.…”

Section: Introductionmentioning

confidence: 99%

High-Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Prediction and QuadTree Decomposition

Alqahtani,

Masmoudi

2023

Applied Sciences

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Over the past few years, a considerable number of researchers have shown great interest in reversible data hiding for encrypted images (RDHEI). One popular category among various RDHEI methods is the reserving room before encryption (RRBE) approach, which leverages data redundancy in the original image before encryption to create space for data hiding and to achieve high embedding rates (ERs). This paper introduces an RRBE-based RDHEI method that employs pixel prediction, quadtree decomposition, and bit plane reordering to provide high embedding capacity and error-free reversibility. Initially, the content owner predicts the error image using a prediction method, followed by mapping it to a new error image with positive pixel values and a compressed binary label map is generated for overhead pixels. Subsequently, quadtree decomposition is applied to each bit plane of the mapped prediction error image to identify homogeneous blocks, which are then reordered to create room for data embedding. After generating the encrypted image with the encryption key, the data hider employs the data hiding key to embed the data based on the auxiliary information added to each embeddable bit plane’s beginning. Finally, the receiver is able to retrieve the secret message without any error, decrypt the image, and restore it without any loss or distortion. The experimental results demonstrate that the proposed RDHEI method achieves significantly higher ERs than previous competitors, with an average ER exceeding 3.6 bpp on the BOSSbase and BOWS-2 datasets.

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Reversible Data Hiding in Encrypted Image Based on Multi-MSB Embedding Strategy

Cited by 3 publications

References 38 publications

Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

Reversible Data Hiding in Encrypted Images Based on the Mixed Multi-Bit Layer Embedding Strategy

A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission

High-Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Prediction and QuadTree Decomposition

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