Reversible Data Hiding in Encrypted Images

Jagtap, Prajakta; Joshi, Atharva; Vyas, Shamsundar

doi:10.17148/iarjset.2015.2209

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…However, uploading plaintext images directly to cloud services can lead to data leakage. RDH in encrypted domains, revered to reversible data hiding in encrypted images (RDH-EI), has emerged to address this issue [23,24]. In this technique, the sender encrypts the plaintext image before transmitting the ciphertext image to the data embedding party, which then embeds it into the ciphertext image and transmits it to the receiver to protect the original image from leakage.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding Algorithm in Encrypted Domain Based on Image Interpolation

Zhong,

Lu,

Xiong

2023

IEEE Access

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This study proposes a large capacity, reversible, and separable algorithm based on adaptive embedding to address the issues plaguing reversible data hiding in the encrypted images (RDH-EI) algorithms, such as reversibility, low embedding rate, and incomplete separation. An improved Arnold and chaos-based image encryption algorithm is proposed in the image encryption stage, permitting the original image several times using the Arnold matrix and performing pixel diffusion using the generated chaotic sequence. Then, the encrypted image is interpolated with an improved image interpolation algorithm to create the cover image to be embedded with the secret data. The difference between the secret data to be embedded and the maximum value of n-bit data is first calculated in the data embedding stage. Then, an adaptive data embedding method is proposed to embed the secret data into the interpolated pixels, based on the difference and the size of the secret data. Experimental results show that the proposed algorithm is fully reversible, has no additional data and no data overflow, and is separable with all uncorrelated keys. The proposed algorithm has higher image quality at the same embedding rate than others. It is also resistant to histogram and regular singular (RS) steganalysis.INDEX TERMS Encrypted domain, reversible data hiding, adaptive embedding, image interpolation.

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Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding Algorithm in Encrypted Domain Based on Image Interpolation

Zhong,

Lu,

Xiong

2023

IEEE Access

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“…Multilevel modification of histogram of the pixel differences was used to embed the secret bit into each block. In this method, nonoverlapping blocks were constructed by encrypting and dividing the cover-image [20][21][22][23][24][25][26]. The authors of [27,28] emphasize the importance of the magnitude of local variance to increase the EC which is based on prediction errors expansion (PEE).…”

Section: Introductionmentioning

confidence: 99%

Efficient Lossless Compression Based Reversible Data Hiding Using Multilayered n-Bit Localization

Abbasi

Amin

et al. 2019

Security and Communication Networks

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We proposed an innovative reversible data hiding technique that is formulated on histogram shifting by using multilayer localized n-bit truncation image (LBPTI), namely, generated form 8-bit plane by means of efficient lossless compression. After selecting the reference point from the block, the neighbor topmost points are used to attain the data embedding without modifying the peak point; in addition, the key information regarding peak point is not mandatory in extraction end to extract the secret information. In order to make the embedded cover-image similar to the histogram of original cover-image, we exploited the localization with efficient lossless compression on lower block level to increase the embedding capacity while controlling extra bit to expand additional embedding capacity on optimum level besides sustaining the quality of cover-image.

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“…An algorithm designed [11] to improve the visual quality of embedded stego image, where the substitution of LSB bits using three modulo strategies. Cover image is encrypted and divided in to non overlapping blocks and data hiding can be done based on pixel value differences and another method in which histogram modification in multilevel was used to embed payload data [12][13][14]. Other than changing or matching least significant bits of cover image pixels, one more technique which uses two adjacent pixels to hide two adjacent pixels of payload data and it is given name as LSB matching revisited [15].…”

Section: Introductionmentioning

confidence: 99%

Image Steganography using Improved Lsb-Mapping Technique with Enhanced Recovery Speed

M.K*,

Shivakumar,

kumar Das

2019

IJRTE

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In recent days, for sending secret messages, we require secure internet. Image steganography is considered as the eminent tool for data hiding which provides better security for the data transmitted over internet. In the proposed work, the payload data is embedded using improved LSB-mapping technique. In this approach, two bits from each pixel of carrier image are considered for mapping and addition. Two bits of payload data can be embedded in one cover image pixel hence enhanced the hiding capacity. A logical function on addition is applied on 1st and 2nd bits of cover image pixel, and a mapping table is constructed which gives solution for data hiding and extraction. Simple addition function on stego pixel is performed to extract payload data hence increases the recovery speed. Here the secret data is not directly embedded but instead mapped and added with a number using modulo-4 strategy. Hence the payload data hidden using proposed approach provide more security and it can resist against regular LSB decoding approaches. The proposed work is implemented and tested for several gray scale as well as color images and compared with respect to parameters like peak signal to noise ratio and MSE. The proposed technique gives better results when compared and histogram of cover and stego images are also compared.

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Reversible Data Hiding in Encrypted Images

Cited by 5 publications

References 11 publications

Reversible Data Hiding Algorithm in Encrypted Domain Based on Image Interpolation

Reversible Data Hiding Algorithm in Encrypted Domain Based on Image Interpolation

Efficient Lossless Compression Based Reversible Data Hiding Using Multilayered n-Bit Localization

Image Steganography using Improved Lsb-Mapping Technique with Enhanced Recovery Speed

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