Reversible Data Hiding for DNA Sequences and Its Applications

2014 ◽  
Vol 6 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Qi Tang ◽  
Guoli Ma ◽  
Weiming Zhang ◽  
Nenghai Yu
Keyword(s):  
Data Hiding ◽  
Dna Sequences ◽  
Reversible Data Hiding ◽  
Tamper Detection ◽  
Dna Databases ◽  
Living Things ◽  
Embedding Rate

As the blueprint of vital activities of most living things on earth, DNA has important status and must be protected perfectly. And in current DNA databases, each sequence is stored with several notes that help to describe that sequence. However, these notes have no contribution to the protection of sequences. In this paper, the authors propose a reversible data hiding method for DNA sequences, which could be used either to embed sequence-related annotations, or to detect and restore tampers. When embedding sequence annotations, the methods works in low embedding rate mode. Only several bits of annotations are embedded. When used for tamper detection and tamper restoration, all possible embedding positions are utilized to assure the maximum restoration capacity.

scholarly journals Separable Reversible Data Hiding in Encryption Image with Two-Tuples Coding

Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 86
Author(s):  
Jijun Wang ◽  
Soo Fun Tan
Keyword(s):  
Image Quality ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Order ◽  
Coding Method ◽  
Military Applications ◽  
Social Cloud ◽  
Carrier Image ◽  
Security Surveillance ◽  
Embedding Rate

Separable Reversible Data Hiding in Encryption Image (RDH-EI) has become widely used in clinical and military applications, social cloud and security surveillance in recent years, contributing significantly to preserving the privacy of digital images. Aiming to address the shortcomings of recent works that directed to achieve high embedding rate by compensating image quality, security, reversible and separable properties, we propose a two-tuples coding method by considering the intrinsic adjacent pixels characteristics of the carrier image, which have a high redundancy between high-order bits. Subsequently, we construct RDH-EI scheme by using high-order bits compression, low-order bits combination, vacancy filling, data embedding and pixel diffusion. Unlike the conventional RDH-EI practices, which have suffered from the deterioration of the original image while embedding additional data, the content owner in our scheme generates the embeddable space in advance, thus lessening the risk of image destruction on the data hider side. The experimental results indicate the effectiveness of our scheme. A ratio of 28.91% effectively compressed the carrier images, and the embedding rate increased to 1.753 bpp with a higher image quality, measured in the PSNR of 45.76 dB.

scholarly journals Reversible Data Hiding for DNA Sequence Using Multilevel Histogram Shifting

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Suk-Hwan Lee
Keyword(s):  
Dna Sequence ◽  
Data Hiding ◽  
Dna Sequences ◽  
Reversible Data Hiding ◽  
Stop Codon ◽  
Sequence Length ◽  
Histogram Shifting ◽  
Stop Codons ◽  
False Start ◽  
Conventional Methods

A large number of studies have examined DNA storage to achieve information hiding in DNA sequences with DNA computing technology. However, most data hiding methods are irreversible in that the original DNA sequence cannot be recovered from the watermarked DNA sequence. This study presents reversible data hiding methods based on multilevel histogram shifting to prevent biological mutations, preserve sequence length, increase watermark capacity, and facilitate blind detection/recovery. The main features of our method are as follows. First, we encode a sequence of nucleotide bases with four-character symbols into integer values using the numeric order. Second, we embed multiple bits in each integer value by multilevel histogram shifting of noncircular type (NHS) and circular type (CHS). Third, we prevent the generation of false start/stop codons by verifying whether a start/stop codon is included in an integer value or between adjacent integer values. The results of our experiments confirmed that the NHS- and CHS-based methods have higher watermark capacities than conventional methods in terms of supplementary data used for decoding. Moreover, unlike conventional methods, our methods do not generate false start/stop codons.

scholarly journals ROI-Based Reversible Data Hiding Scheme for Medical Images with Tamper Detection

2015 ◽  
Vol E98.D (4) ◽  
pp. 769-774 ◽  
Author(s):  
Yuling LIU ◽  
Xinxin QU ◽  
Guojiang XIN ◽  
Peng LIU
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Medical Images ◽  
Tamper Detection

On Performance Improvement Of Reversible Data Hiding With Contrast Enhancement

2020 ◽  
Vol 63 (10) ◽  
pp. 1584-1596
Author(s):  
Haishan Chen ◽  
Junying Yuan ◽  
Wien Hong ◽  
Jiangqun Ni ◽  
Tung-Shou Chen
Keyword(s):  
Contrast Enhancement ◽  
Performance Improvement ◽  
Data Hiding ◽  
Upper Bound ◽  
Reversible Data Hiding ◽  
Image Contrast ◽  
Embedding Capacity ◽  
Visible Image ◽  
Multiple Cycles ◽  
Embedding Rate

Abstract Reversible data hiding (RDH) with contrast enhancement (RDH-CE) is a special type of RDH in improving the subjective visual perception by enhancing the image contrast during the process of data embedding. In RDH-CE, data hiding is achieved via pairwise histogram expansion, and the embedding rate can be increased by performing multiple cycles of histogram expansions. However, when embedding rate gets high, human visible image degradation is observed. Previous work designed an upper bound of the embedding level for RDH-CE, which effectively avoids image over-sharping but offers limited embedding capacity. In this paper, a better tunable bound is designed to enhance the embedding capacity of RDH-CE by exploiting the characteristics of histogram distribution. Furthermore, the objective distortion introduced by histogram pre-shifting is minimized when the embedding level is no more than the upper bound, and the human visible degradation is minimized when the embedding level exceeds the limitation of the proposed upper bound. Experimental results validate that the proposed method provides appropriate upper bound of the embedding level, increases the effective embedding capacity and offers better image contrast.

scholarly journals Reversible Data Hiding Scheme with High Embedding Capacity Using Semi-Indicator-Free Strategy

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Jiann-Der Lee ◽  
Yaw-Hwang Chiou ◽  
Jing-Ming Guo
Keyword(s):  
Vector Quantization ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Embedding Capacity ◽  
Bit Rate ◽  
Secret Data ◽  
Compressed Images ◽  
Search Order ◽  
High Embedding Capacity ◽  
Embedding Rate

A novel reversible data-hiding scheme is proposed to embed secret data into a side-matched-vector-quantization- (SMVQ-) compressed image and achieve lossless reconstruction of a vector-quantization- (VQ-) compressed image. The rather random distributed histogram of a VQ-compressed image can be relocated to locations close to zero by SMVQ prediction. With this strategy, fewer bits can be utilized to encode SMVQ indices with very small values. Moreover, no indicator is required to encode these indices, which yields extrahiding space to hide secret data. Hence, high embedding capacity and low bit rate scenarios are deposited. More specifically, in terms of the embedding rate, the bit rate, and the embedding capacity, experimental results show that the performance of the proposed scheme is superior to those of the former data hiding schemes for VQ-based, VQ/SMVQ-based, and search-order-coding- (SOC-) based compressed images.

scholarly journals Reversible Data Hiding Based on DNA Computing

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Bin Wang ◽  
Yingjie Xie ◽  
Shihua Zhou ◽  
Changjun Zhou ◽  
Xuedong Zheng
Keyword(s):  
Information Security ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Dna Computing ◽  
Experimental Results ◽  
Signal To Noise ◽  
Histogram Modification ◽  
Biological Technology ◽  
Embedding Rate ◽  
Great Development

Biocomputing, especially DNA, computing has got great development. It is widely used in information security. In this paper, a novel algorithm of reversible data hiding based on DNA computing is proposed. Inspired by the algorithm of histogram modification, which is a classical algorithm for reversible data hiding, we combine it with DNA computing to realize this algorithm based on biological technology. Compared with previous results, our experimental results have significantly improved the ER (Embedding Rate). Furthermore, some PSNR (peak signal-to-noise ratios) of test images are also improved. Experimental results show that it is suitable for protecting the copyright of cover image in DNA-based information security.

scholarly journals Reversible Data Hiding Scheme in Homomorphic Encrypted Image Based on EC-EG

2019 ◽  
Vol 9 (14) ◽  
pp. 2910 ◽  
Author(s):  
Neng Zhou ◽  
Minqing Zhang ◽  
Han Wang ◽  
Mengmeng Liu ◽  
Yan Ke ◽  
...  
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Additional Data ◽  
Cover Image ◽  
Public Key Encryption ◽  
Encrypted Image ◽  
Predictive Error ◽  
Reference Pixel ◽  
Embedding Rate

To combine homomorphic public key encryption with reversible data hiding, a reversible data hiding scheme in homomorphic encrypted image based on EC-EG is proposed. Firstly, the cover image is segmented. The square grid pixel group randomly selected by the image owner has one reference pixel and eight target pixels. The n least significant bits (LSBs) of the reference pixel and all bits of target pixel are self-embedded into other parts of the image by a method of predictive error expansion (PEE). To avoid overflowing when embedding data, the n LSBs of the reference pixel are reset to zero before encryption. Then, the pixel values of the image are encrypted after being encoded onto the points of the elliptic curve. The encrypted reference pixel replaces the encrypted target pixels surrounding it, thereby constructing the mirroring central ciphertext (MCC). In a set of MCC, the data hider embeds the encrypted additional data into the n LSBs of the target pixels by homomorphic addition in ciphertexts, while the reference pixel remains unchanged. The receiver can directly extract additional data by homomorphic subtraction in ciphertexts between the target pixels and the corresponding reference pixel; extract the additional data by subtraction in plaintexts with the directly decrypted image; and restore the cover image without loss. The experimental results show that the proposed scheme has higher security than the similar algorithms, and the average embedding rate of the scheme is 0.25 bpp under the premise of ensuring the quality of the directly decrypted image.

scholarly journals Intra-Block Correlation Based Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1072
Author(s):  
Arun Kumar Rai ◽  
Neeraj Kumar ◽  
Rajeev Kumar ◽  
Hari Om ◽  
Satish Chand ◽  
...  
Keyword(s):  
Data Hiding ◽  
Binary Tree ◽  
Reversible Data Hiding ◽  
State Of The Art ◽  
High Capacity ◽  
Block Based ◽  
Pixel Correlation ◽  
Encrypted Images ◽  
Labeling Scheme ◽  
Embedding Rate

In this paper, a high capacity reversible data hiding technique using a parametric binary tree labeling scheme is proposed. The proposed parametric binary tree labeling scheme is used to label a plaintext image’s pixels as two different categories, regular pixels and irregular pixels, through a symmetric or asymmetric process. Regular pixels are only utilized for secret payload embedding whereas irregular pixels are not utilized. The proposed technique efficiently exploits intra-block correlation, based on the prediction mean of the block by symmetry or asymmetry. Further, the proposed method utilizes blocks that are selected for their pixel correlation rather than exploiting all the blocks for secret payload embedding. In addition, the proposed scheme enhances the encryption performance by employing standard encryption techniques, unlike other block based reversible data hiding in encrypted images. Experimental results show that the proposed technique maximizes the embedding rate in comparison to state-of-the-art reversible data hiding in encrypted images, while preserving privacy of the original contents.

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