Multiple-image encryption with bit-plane decomposition and chaotic maps

Tang, Zhenjun; Song, Juan; Zhang, Xianquan; Sun, Ruizhi

doi:10.1016/j.optlaseng.2015.12.004

Cited by 157 publications

(56 citation statements)

References 26 publications

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“…This choice was made since the sensitivity of the human eye to green is higher than other hues (Tang et al, 2016). Consequently, the maximum capacity is decreased, but the real message's undetectability increases.…”

Section: Applicationsmentioning

confidence: 99%

Efficient Multi-Secret Digital Images Steganography

Sidqi

2020

Journal of Computer Science

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The new conceptions of more than one secret message and false digital image steganography are presented in the current paper. One of the major ideas in these approaches is embodiment of more than one message in one container (digital image). The secrets that are hidden are known as real and false messages. The former one includes basic data that should be transferred between various parties in a secure manner. The second one is a bait for in order to focus attention on a non-important message. When it is discovered that there exists the actual information, this false and multiple data hidden steganography is cracked, regardless of detection of false message. Many various applications can be found for these concepts, particularly in situations that there is close monitoring over the communication channel between a receiver and a sender and there is suspicion of using steganography. In this case, probably the transferred data would be examined in detailed. The concepts that are defined in the current paper would be helpful for overcoming this problem through ignoring an invented message and thus, deception of the warden. It can be perceived as an additional benefit that it is possible to send both false and real data at the same time. The presented idea actually gives the opportunity of the establishment of a subliminal channel during the transfer of hidden information by the use of digital images.

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Section: Applicationsmentioning

confidence: 99%

Efficient Multi-Secret Digital Images Steganography

Sidqi

2020

Journal of Computer Science

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“…Image encryption and data hiding are two main means for data security. The former aims to transform the meaningful image into a noise-like one to prevent image content leakage [1][2][3][4], while the latter embeds secret data into a cover image imperceptibly. In image encryption, the original image is the one to be protected, while, in data hiding, the secret data is the information that should be undisclosed.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Zhang

et al. 2020

Applied Sciences

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In this paper, a reversible data hiding method in encrypted image (RDHEI) is proposed. Prior to image encryption, the embeddable pixels are selected from an original image according to prediction errors due to adjacent pixels with strong correlation. Then the embeddable pixels and the other pixels are both rearranged and encrypted to generate an encrypted image. Secret bits are directly embedded into the multiple MSBs (most significant bit) of the embeddable pixels in the encrypted image to generate a marked encrypted image during the encoding phase. In the decoding phase, secret bits can be extracted from the multiple MSBs of the embeddable pixels in the marked encrypted image. Moreover, the original embeddable pixels are restored losslessly by using correlation of the adjacent pixels. Thus, a reconstructed image with high visual quality can be obtained only when the encryption key is available. Since exploiting multiple MSBs of the embeddable pixels, the proposed method can obtain a very large embedding capacity. Experimental results show that the proposed method is able to achieve an average embedding rate as large as 1.7215 bpp (bits per pixel) for the BOW-2 database.Nowadays, RDHEI has received increasing attention in the research community, in which both the original image and secret data need to be protected. In RDHEI, image encryption and data embedding are accomplished by different users separately. The content-owner first encrypts the original image to a noise-like one according to encryption key, then the data hider embeds secret data into the encrypted image using a data-hiding key without knowing its original content. The receiver can perform different operations according to the available keys. This can be applied in many scenarios such as Cloud storage, medical image management system.In general, RDHEI can be divided into two categories, namely, vacating room after encryption (VRAE) [22][23][24][25][26][27][28][29][30][31] or reserving room before encryption (RRBE) [32][33][34][35][36][37][38][39]. Puech et al. [22] used an AES (advanced encryption standard) encryption algorithm to encrypt the original image, and then randomly selected a location in each 4×4 pixel block to embed the secret bits. In order to extract secret bits during the decryption phase, they performed a local standard deviation analysis of the marked image. The embedding rate (ER) of this method is very small, i.e., only 0.0625 bpp. Zhang [23] encrypted the original image using the stream cipher firstly and then divided the encrypted image into blocks and each pixel block was divided into two parts. In one part, the three LSBs of each pixel were flipped to embed a secret bit. On the receiver side, a fluctuation function was designed for data extraction and image recovery. Yu et al. [24] improves the method of Zhang et al. [23], so that the visual quality of decrypted images is improved. Wu et al.[25] adopted a prediction error to introduce two RDH methods in the encryption domain, namely, joint method and separable method. In or...

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“…This method reaches good security. In [23], Tang et al exploited Henon map, logistic map, and bit-plane decomposition to design an algorithm for multiple-image encryption. This algorithm can convert four gray-scale images into an encrypted PNG image.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption with Double Spiral Scans and Chaotic Maps

Tang

Yang

Shijie

et al. 2019

Security and Communication Networks

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Image encryption is a useful technique of image content protection. In this paper, we propose a novel image encryption algorithm by jointly exploiting random overlapping block partition, double spiral scans, Henon chaotic map, and Lü chaotic map. Specifically, the input image is first divided into overlapping blocks and pixels of every block are scrambled via double spiral scans. During spiral scans, the start-point is randomly selected under the control of Henon chaotic map. Next, image content based secret keys are generated and used to control the Lü chaotic map for calculating a secret matrix with the same size of input image. Finally, the encrypted image is obtained by calculating XOR operation between the corresponding elements of the scrambled image and the secret matrix. Experimental result shows that the proposed algorithm has good encrypted results and outperforms some popular encryption algorithms.

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Multiple-image encryption with bit-plane decomposition and chaotic maps

Cited by 157 publications

References 26 publications

Efficient Multi-Secret Digital Images Steganography

Efficient Multi-Secret Digital Images Steganography

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

Image Encryption with Double Spiral Scans and Chaotic Maps

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