scholarly journals Correcting Errors in Image Encryption Based on DNA Coding

Molecules ◽  
2018 ◽  
Vol 23 (8) ◽  
pp. 1878 ◽  
Author(s):  
Bin Wang ◽  
Yingjie Xie ◽  
Shihua Zhou ◽  
Xuedong Zheng ◽  
Changjun Zhou
Keyword(s):  
Image Encryption ◽  
Dna Sequences ◽  
Dna Computing ◽  
Experimental Results ◽  
Primary Method ◽  
Image Information ◽  
Dna Coding ◽  
Encryption And Decryption ◽  
Novel Method

As a primary method, image encryption is widely used to protect the security of image information. In recent years, image encryption pays attention to the combination with DNA computing. In this work, we propose a novel method to correct errors in image encryption, which results from the uncertainty of DNA computing. DNA coding is the key step for DNA computing that could decrease the similarity of DNA sequences in DNA computing as well as correct errors from the process of image encryption and decryption. The experimental results show our method could be used to correct errors in image encryption based on DNA coding.

scholarly journals An Image Encryption Scheme Based on DNA Computing and Cellular Automata

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shihua Zhou ◽  
Bin Wang ◽  
Xuedong Zheng ◽  
Changjun Zhou
Keyword(s):  
Cellular Automata ◽  
Image Encryption ◽  
Dna Sequences ◽  
Dna Computing ◽  
Simulation Experiment ◽  
Brute Force ◽  
Image Information ◽  
Key Space ◽  
Encryption Algorithms ◽  
Differential Attacks

Networks have developed very quickly, allowing the speedy transfer of image information through Internet. However, the openness of these networks poses a serious threat to the security of image information. The field of image encryption has drawn attention for this reason. In this paper, the concepts of 1-dimensional DNA cellular automata and T-DNA cellular automata are defined, and the concept of reversible T-DNA cellular automata is introduced. An efficient approach to encryption involving reversible T-DNA cellular automata as an encryption tool and natural DNA sequences as the main keys is here proposed. The results of a simulation experiment, performance analysis, and comparison to other encryption algorithms showed this algorithm to be capable of resisting brute force attacks, statistical attacks, and differential attacks. It also enlarged the key space enormously. It meets the criteria for one-time pad and resolves the problem that one-time pad is difficult to save.

scholarly journals Splicing Model and Hyper–Chaotic System for Image Encryption

2016 ◽  
Vol 67 (2) ◽  
pp. 78-86 ◽  
Author(s):  
Hongye Niu ◽  
Changjun Zhou ◽  
Bin Wang ◽  
Xuedong Zheng ◽  
Shihua Zhou
Keyword(s):  
Image Encryption ◽  
Chaotic System ◽  
Dna Computing ◽  
Formal Model ◽  
Security Analysis ◽  
The Internet ◽  
Encryption Scheme ◽  
Image Information ◽  
Plain Image ◽  
Differential Attacks

Abstract Encryption is an effective way to protect the image information from attacking by intruders in the transmission applications through the Internet. This study presents an image encryption scheme on the basics of the formal model of DNA computing-splicing system and hyper-chaotic system, which utilizes the instinct properties of hyper-chaotic system and splicing model while programming the method. In our proposed algorithm, the quaternary coding is used to split the plain image into four sub-sections so that we can’t get the cipher image without any one sub-section. This new method can be used to change the plain image information drastically. The experimental results and security analysis show that our method not only has a good security but also increases the resistance to common attacks such as exhaustive attacks, statistical attacks and differential attacks.

scholarly journals Image Encryption Based on Arnod Transform and Fractional Chaotic

2021 ◽  
Author(s):  
Chao Chen ◽  
Hongying Zhang ◽  
Bin Wu
Keyword(s):  
Image Encryption ◽  
Fractional Order ◽  
Chaotic Sequence ◽  
Experimental Results ◽  
Key Generation ◽  
Original Image ◽  
Arnold Transform ◽  
Encryption And Decryption ◽  
Partial Distortion ◽  
Improved Algorithm

In view of the problem of cracking easily and partial distortion of images after encryption or decryption, a novel image encryption and decryption algorithm based on Arnod Transform and fractional chaotic is proposed. To begin with, the Arnold transform is used to encrypt. So that the spatial confidence of the original image has been comprehensively disturbed. Secondly, the XOR involving the fractional order chaotic sequence is used to encrypt. The key sequence is dynamically generated to ensure the randomness and difference of key generation. When decryption is required, the first decryption is performed using the key and XOR. Then the second decryption is carried out by using the inverse Arnold transform, and finally the decrypted image is obtained. Experimental results show that the improved algorithm has achieved better performance in encryption and decryption.

scholarly journals Image Encryption based on Chaotic Map and Reversible Integer Wavelet Transform

2014 ◽  
Vol 65 (2) ◽  
pp. 90-96 ◽  
Author(s):  
Xiaopeng Wei ◽  
Bin Wang ◽  
Qiang Zhang ◽  
Chao Che
Keyword(s):  
Wavelet Transform ◽  
Image Encryption ◽  
Chaotic Maps ◽  
Chaotic Map ◽  
Experimental Results ◽  
Integer Wavelet Transform ◽  
Image Information ◽  
Initial Values ◽  
Plain Image ◽  
Integer Wavelet

Abstract In recent years, there has been growing interesting in image encryption based on chaotic maps and wavelet transform. In this paper, a novel scheme for image encryption based on chaotic maps and reversible integer wavelet transform is proposed. Firstly, the cipher key which is related to plain-image is used to generate different parameters and initial values of chaotic maps. Then the plain-image is permuted by the order from chaotic maps, and processed by integer wavelet transform. A part of transform coefficient is diffused by the orbits of chaotic maps. Finally, the cipher image is obtained by inverse integer wavelet transform based on the diffused coefficient. Numerical experimental results and comparing with previous works show that the proposed scheme possesses higher security than previous works, which is suitable for protecting the image information.

Analysis of Color Image Encryption Using Multidimensional Bogdanov Map

2021 ◽  
pp. 1410-1430
Author(s):  
R. N. Ramakant Parida ◽  
Swapnil Singh ◽  
Chittaranjan Pradhan
Keyword(s):  
Communication Network ◽  
Image Encryption ◽  
Color Image ◽  
Chaotic Map ◽  
Digital Transmission ◽  
Experimental Results ◽  
Main Concern ◽  
Single Plane ◽  
Encryption And Decryption ◽  
Two Parameters

Image encryption is a main concern in digital transmission of data over communication network. As encryption and decryption of image has got considerable attention in the past decades, its effectiveness and compatibility need to be taken care of. The work reported in this chapter is mainly concerned with enhancement of dimension in image encryption technique. The work mainly deals with pixels shuffling of an image using Bogdanov chaotic map for both gray and color image, where encryption and decryption process are associated with the key. In color image, the image is divided into all three planes (RGB) individually. Scrambling is done with all three planes individually. All the three planes are summed up into a single plane which gives us the final result. In Bogdanov map, old pixel position is replaced with new pixel position. Further, the authors analyzed security of image encryption techniques with two parameters called NPCR and UACI. The efficacy of the encryption process can be seen in experimental results.

scholarly journals Chaos Based Image Encryption

2018 ◽  
Vol 9 (1) ◽  
pp. 97
Author(s):  
Suresh. G. B ◽  
V. Mathivanan
Keyword(s):  
Image Encryption ◽  
Median Filter ◽  
Experimental Results ◽  
New Method ◽  
Encryption Scheme ◽  
Mapping Algorithm ◽  
Encrypted Image ◽  
High Security ◽  
Encryption And Decryption

<p>New method of secure image encryption and decryption scheme based on the chaos is proposed. There are two steps are followed after the preprocessing step in the proposed system namely, Encryption and Decryption. In preprocessing, images are denoised using median filter. Then the original input images will be encrypted by using the chaos mapping algorithm. At last the original images are retrieved back from the encrypted image by using the key that is specified during the encryption process for the decryption of the original images. Then the histogram mapping is done for the encrypted and the decrypted images. The proposed system is tested on well-known images like Lena, Mandrill, Clown and Barbara. The experimental results have demonstrated that the introduced image encryption scheme can achieve high security for practical image encryption.</p>

A novel auto-encoder induced chaos based image encryption framework aiding DNA computing sequence

2021 ◽  
pp. 1-17
Author(s):  
P. Alli ◽  
J. Dinesh Peter
Keyword(s):  
Image Encryption ◽  
Dna Computing ◽  
Vital Role ◽  
Primary Data ◽  
Computational Time ◽  
Security Threats ◽  
Secret Key ◽  
Dna Encoding ◽  
Digital Network ◽  
Encryption And Decryption

The day-to-day progress in communication plays a vital role in transmitting millions and trillions of data through the unsecured network channels. It creates a way where the user’s data becomes the victim of various security threats. Among those users’ data, images act as primary data, and its encryption security methodologies are fascinating. The conventional encryption techniques don’t work well against the various other hidden security threats but require substantial computational time and cost with poor permutation performance. Hence to deal with this, an auto-encoder induced DNA (Deoxyribonucleic acid) sequence via chaotic image encryption framework is designed in our proposed work. It integrates the properties of DNA encoding and the chaotic maps to handle the data losses effectively and resist several attacks such as statistical attacks, chosen-plaintext attacks, etc. Moreover, an auto-encoder is used to control the data noises, thereby ensuring a better encryption performance. Here, the auto-encoder is activated to generate a permuted image with less time complexity and noise. A secret key is then initialized with the aid of SHA-256. Finally, image encryption and decryption are achieved, followed by the successful transmission of data over a digital network. The performance of the proposed work is analyzed with varied metrics to strengthen its efficiency over the prior techniques.

STRUCTURE AND TEXTURE IMAGE INPAINTING USING SPARSE REPRESENTATIONS AND AN ITERATIVE CURVELET THRESHOLDING APPROACH

2008 ◽  
Vol 06 (05) ◽  
pp. 691-705 ◽  
Author(s):  
LINGLING JIANG ◽  
XIANGCHU FENG ◽  
HAIQING YIN
Keyword(s):  
Image Inpainting ◽  
Sparse Representations ◽  
Experimental Results ◽  
Texture Image ◽  
Image Information ◽  
Morphological Component Analysis ◽  
Ringing Artifacts ◽  
Alternative Approach ◽  
Morphological Component ◽  
Novel Method

Representing the image to be inpainted in an appropriate sparse dictionary, we introduce a novel method for the filling-in of structure and texture in regions of missing image information. In the morphological component analysis (MCA) inpainting approach, a TV penalty is added to better reduce ringing artifacts. However, the incorporation of TV penalty terms leads to PDE schemes that are numerically intensive. Inspired by the works of Daubechies–Teschke and Borup–Nielsen, we replace the TV term by a [Formula: see text] term. It results in an iterative curvelet thresholding scheme for the structure image inpainting. In the whole inpainting process, an alternative approach is presented to layer inpainting. Experimental results show the performance of the algorithm.

scholarly journals Chaotic System and DNA Computing operations for Image Encryption Based on Pixels Shuffling

2021 ◽  
Vol 26 (2) ◽  
Author(s):  
Ekhlas K. Gbashi ◽  
Alaa kadhim Farhan
Keyword(s):  
Image Encryption ◽  
Chaos Theory ◽  
Dna Computing ◽  
Change Rate ◽  
Cipher Text ◽  
Important Principle ◽  
Key Space ◽  
Novel Method ◽  
Encryption Method ◽  
Dna Algorithm

Image encryption is one of the primary approaches which is used to keep image information secure and safe. Recently, image encryption is turning its attention to combination with the field of DNA computing. In the presented study, a novel method of image encryption is suggested and implemented based on the DNA algorithm and Chaos theory, the most important principle in image encryption is breaking the correlation amongst pixels. This algorithm performs well against chosen cipher-text attacks. Furthermore, the proposed approach was implemented and analyzed for the Number of Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), The performance of the encryption method is analyzed using the histogram, Shannon entropy and key space.

Analysis of Color Image Encryption Using Multidimensional Bogdanov Map

2019 ◽  
pp. 202-225
Author(s):  
R. N. Ramakant Parida ◽  
Swapnil Singh ◽  
Chittaranjan Pradhan
Keyword(s):  
Communication Network ◽  
Image Encryption ◽  
Color Image ◽  
Chaotic Map ◽  
Digital Transmission ◽  
Experimental Results ◽  
Main Concern ◽  
Single Plane ◽  
Encryption And Decryption ◽  
Two Parameters

Image encryption is a main concern in digital transmission of data over communication network. As encryption and decryption of image has got considerable attention in the past decades, its effectiveness and compatibility need to be taken care of. The work reported in this chapter is mainly concerned with enhancement of dimension in image encryption technique. The work mainly deals with pixels shuffling of an image using Bogdanov chaotic map for both gray and color image, where encryption and decryption process are associated with the key. In color image, the image is divided into all three planes (RGB) individually. Scrambling is done with all three planes individually. All the three planes are summed up into a single plane which gives us the final result. In Bogdanov map, old pixel position is replaced with new pixel position. Further, the authors analyzed security of image encryption techniques with two parameters called NPCR and UACI. The efficacy of the encryption process can be seen in experimental results.

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