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

Yu, Kunliang; Chen, Liquan; Wang, Yu; Han, Jinguang; Zhang, Lejun

doi:10.1049/iet-ipr.2020.1105

Cited by 11 publications

(4 citation statements)

References 33 publications

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“…Yu et al. [20] proposed a novel reversible data hiding in encrypted domain scheme for coding channel based on sliding‐block segmentation and adaptive steganography. Based on a new interpolation image and difference histogram shift, Ye et al.…”

Section: Related Workmentioning

confidence: 99%

“…The CSST-Net not only achieves visually appealing results in synthesizing image style transfers of any kind but also demonstrates excellent capacity performance.Tang et al [19] proposed a new RDH algorithm for encrypted image based on adaptive prediction error coding to enlarge the embedding capacity. Yu et al [20] proposed a novel reversible data hiding in encrypted domain scheme for coding channel based on sliding-block segmentation and adaptive steganography. Based on a new interpolation image and difference histogram shift, Ye et al [21] proposed a reversible image steganography algorithm for encrypted images.…”

Section: Information Hidingmentioning

confidence: 99%

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SIHNet: A safe image hiding method with less information leaking

Cheng,

Jin,

Jiang

et al. 2024

IET Image Processing

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Image hiding is a task that hides secret images into cover images. The purposes of image hiding are to ensure the secret images are invisible to the human and the secret images can be recovered. The current state‐of‐the‐art steganography methods run the risk of secret information leakage. A safe image hiding network (SIHNet) is presented to reduce the leakage of secret information. Based on some phenomena of image hiding methods which use invertible neural network, a reversible secret image processing (SIP) module is proposed to make the secret images suitable for hiding and make the stego images leak less secret information. Besides, a reversible lost information hiding (LIH) module is used to hide the lost information into the cover images, thus the method can recover the secret images better than the method that uses random noise to replace the lost information. Experimental results show that SIHNet outperforms other state‐of‐the‐art methods on the PSNR and SSIM values of the recovered secret images and the stego images. Besides, residual images of other state‐of‐the‐art methods all contain information about secret images while residual images of SIHNet leak almost no secret information. Thus the method can prevent the listener of transmission channel from obtaining the information of the secret image through the residual image, which means SIHNet performs better in security than other state‐of‐the‐art methods.

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Section: Related Workmentioning

confidence: 99%

Section: Information Hidingmentioning

confidence: 99%

SIHNet: A safe image hiding method with less information leaking

Cheng,

Jin,

Jiang

et al. 2024

IET Image Processing

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show abstract

“…Compared with traditional text information encryption, image information is more difficult due to the large amount of correlation redundancy between information, so this is what researchers are paying more attention to. Chaotic signal is very suitable for image encryption due to its characteristics of pseudorandomness, unpredictability, and initial value sensitivity, and has been favored by researchers in the field [1][2][3][4][5]. Compared with traditional chaos, optical chaos can achieve a better encryption effect in image encryption because of its advantages of higher complexity, high bandwidth, and low attenuation.…”

Section: Introductionmentioning

confidence: 99%

Image encryption scheme based on optical chaos and DNA Rubik’s cube algorithm

Chen,

Zhou,

Zheng

et al. 2023

Phys. Scr.

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In order to improve the complexity of optical chaotic sequence output and the encryption efficiency of bit plane encryption, an image encryption algorithm based on optical chaos and DNA Rubik’s cube scrambling is proposed. An external disturbance structure of light injection is proposed to improve the complexity of the chaotic sequence of light output from the slave laser by the external disturbance generated by the mutual injection between the driving laser and the main laser. Meanwhile, in the image algorithm, in addition to Rubik’s cube scrambling at the pixel level, this paper proposes a bit plane encryption method based on DNA plane Rubik’s cube scrambling, which reduces the amount of encrypted data and further improves the security of image encryption by using encryption selection of different DNA encoding modes. The scrambled images are diffused by DNA calculation and optical chaos sequence at the bit-level and pixel level respectively. Through the quantitative analysis of the security simulation of the proposed algorithm, the results show that the algorithm guarantees a certain encryption efficiency under the condition of good security, the key space is 1064, the information entropy of each test ciphertext image is close to the theoretical maximum, and the test indexes of plaintext sensitivity and key sensitivity are close to ideal values. For differential attacks, chosen plaintext attacks, known plaintext attacks, exhaustive attacks, cropping attacks, and noise attacks have good robustness.

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“…How to use technical means to ensure effective digital media security has become a practical problem that needs to be resolved urgently. In recent years, research on signal processing in the encrypted domain based on cloud computing platform and various privacy protection applications has attracted more and more attention [1][2][3][4][5]. In particular, reversible data hiding in encrypted images (RDH-EI) has been proposed as a solution to securely store and manage digital images in the cloud while preserving its confidentiality.…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding in encrypted images with high payload

2022

IET Information Security

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Reversible data hiding in encrypted images (RDH‐EI) can be used as an efficient technique to directly embed additional data in the encrypted domain without violating privacy. In this study, a multi‐MSB (most significant bit) prediction‐based RDH‐EI scheme is proposed, which is completely reversible and has high embedding payload. An improved gradient adjustment predictor (GAP) is used for pixel prediction. A binary location map is employed to store the location of the prediction errors. Subsequently, pre‐processing is performed on accurately predicted pixels in the original image to store the prediction difference. The pre‐processed image is encrypted using a stream cipher, and then the data hider can substitute multi‐MSB values of each available pixel in encrypted image with secret message bits to obtain the marked encrypted image. On the recipient side, the secret message can be extracted without any error and the original image can be reconstructed losslessly. Experimental results show that not only the embedding payload is improved but also the hidden data can be extracted accurately, and the cover image can be recovered perfectly.

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

Cited by 11 publications

References 33 publications

SIHNet: A safe image hiding method with less information leaking

SIHNet: A safe image hiding method with less information leaking

Image encryption scheme based on optical chaos and DNA Rubik’s cube algorithm

Reversible data hiding in encrypted images with high payload

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