Separable data hiding in encrypted image based on compressive sensing

2014 ◽  
Vol 50 (8) ◽  
pp. 598-600 ◽  
Author(s):  
Di Xiao ◽  
Shoukuo Chen
Keyword(s):  
Compressive Sensing ◽  
Data Hiding ◽  
Encrypted Image

scholarly journals Separable Data-Hiding Scheme for Encrypted Image to Protect Privacy of User in Cloud

Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 82 ◽  
Author(s):  
Li Liu ◽  
Lifang Wang ◽  
Yun-Qing Shi ◽  
Chin-Chen Chang
Keyword(s):  
Cloud Computing ◽  
Compressive Sensing ◽  
Data Hiding ◽  
Data Extraction ◽  
Data Loss ◽  
Hiding Capacity ◽  
Encrypted Image ◽  
Private Data ◽  
Hidden Data ◽  
Encrypted Images

As cloud computing becomes popular, the security of users’ data is faced with a great threat, i.e., how to protect users’ privacy has become a pressing research topic. The combination of data hiding and encryption can provide dual protection for private data during cloud computing. In this paper, we propose a new separable data-hiding scheme for encrypted images based on block compressive sensing. First, the original uncompressed image is compressed and encrypted by block compressive sensing (BCS) using a measurement matrix, which is known as an encryption key. Then, some additional data can be hidden into the four least significant bits of measurement using the data-hiding key during the process of encoding. With an encrypted image that contains hidden data, the receiver can extract the hidden data or decrypt/reconstruct the protected private image, according to the key he/she possesses. This scheme has important features of flexible compression and anti-data-loss. The image reconstruction and data extraction are separate processes. Experimental results have proven the expected merits of the proposed scheme. Compared with the previous work, our proposed scheme reduces the complexity of the scheme and also achieves better performance in compression, anti-data-loss, and hiding capacity.

High-capacity separable data hiding in encrypted image based on compressive sensing

2015 ◽  
Vol 75 (21) ◽  
pp. 13779-13789 ◽  
Author(s):  
Di Xiao ◽  
Hongkun Cai ◽  
Yong Wang ◽  
Sen Bai
Keyword(s):  
Compressive Sensing ◽  
Data Hiding ◽  
High Capacity ◽  
Encrypted Image

scholarly journals High Capacity Data Hiding in Encrypted Image Based on Compressive Sensing for Nonequivalent Resources

2019 ◽  
Vol 58 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Di Xiao ◽  
Jia Liang ◽  
Qingqing Ma ◽  
Yanping Xiang ◽  
Yushu Zhang
Keyword(s):  
Compressive Sensing ◽  
Data Hiding ◽  
High Capacity ◽  
Encrypted Image ◽  
Capacity Data

scholarly journals High-Capacity Reversible Data Hiding in Encrypted Images by Information Preprocessing

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xi-Yan Li ◽  
Xia-Bing Zhou ◽  
Qing-Lei Zhou ◽  
Shi-Jing Han ◽  
Zheng Liu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Capacity ◽  
Main Idea ◽  
Original Image ◽  
Chaos Encryption ◽  
Secret Information ◽  
Encrypted Image ◽  
Encrypted Images ◽  
Scanned Documents

With the development of cloud computing, high-capacity reversible data hiding in an encrypted image (RDHEI) has attracted increasing attention. The main idea of RDHEI is that an image owner encrypts a cover image, and then a data hider embeds secret information in the encrypted image. With the information hiding key, a receiver can extract the embedded data from the hidden image; with the encryption key, the receiver reconstructs the original image. In this paper, we can embed data in the form of random bits or scanned documents. The proposed method takes full advantage of the spatial correlation in the original images to vacate the room for embedding information before image encryption. By jointly using Sudoku and Arnold chaos encryption, the encrypted images retain the vacated room. Before the data hiding phase, the secret information is preprocessed by a halftone, quadtree, and S-BOX transformation. The experimental results prove that the proposed method not only realizes high-capacity reversible data hiding in encrypted images but also reconstructs the original image completely.

Reversible Data Hiding for Encrypted Image Based on Interpolation Error Expansion

2018 ◽  
Vol 9 (4) ◽  
pp. 76-96 ◽  
Author(s):  
Fuqiang Di ◽  
Minqing Zhang ◽  
Yingnan Zhang ◽  
Jia Liu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Side Information ◽  
Signal To Noise Ratio ◽  
Prediction Method ◽  
Interpolation Error ◽  
Encrypted Image ◽  
Error Expansion ◽  
Pixel Correlation ◽  
Embedding Performance

A novel reversible data hiding algorithm for encrypted image based on interpolation error expansion is proposed. The proposed method is an improved version of Shiu' s. His work does not make full use of the correlation of the neighbor pixels and some additional side information is needed. The proposed method adopts the interpolation prediction method to fully exploit the pixel correlation and employ the Paillier public key encryption method. The algorithm is reversible. In the proposed method, less side information is demanded. The experiment has verified the feasibility and effectiveness of the proposed method, and the better embedding performance can be obtained, compared with some existing RDHEI-P methods. Specifically, the final embedding capacity can be up to 0.74 bpp (bit per pixel), while the peak signal-to-noise ratio (PSNR) for the marked image Lena is 35 dB. This is significantly higher than Shiu's method which is about 0.5 bpp.

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