Cryptanalysis and Improvement of the Image Encryption Scheme Based on Feistel Network and Dynamic DNA Encoding

Recently, the concept of DNA has been invested in computing technology in different ways which linking information technology and biological sciences. There are several encryption algorithms based on DNA encoding that has been proposed, which leads to generating a new direction in image encryption. However, the DNA encryption scheme has drawbacks such as expensive experimental equipment, difficult operations, and hard to hold its biotechnology. Additionally, during careful cryptanalysis that applied to most of these image encryption schemes, we notice that DNA operators can only influence one DNA base, which causes poor diffusion. Our proposed scheme is not applied complex biological operation but just is given to improve the diffusion ability of image encryption scheme by using DNA sequence and DCT transform. Our works overcome above-aforementioned issues. Furthermore, empirical results on real images and security analysis demonstrate that our proposed scheme not only has flexibility and efficiency encryption scheme but also has the ability to resist well-known attacks such as entropy attack, differential attack, statistical attack, chosen/known plain image attack. Additionally, our work enjoys several strong characteristics as follows: (1) the decryption error is very low to recover the original image; (2) Once key for each encryption process and if the user wants to use the same key in many times, our proposed scheme supports secret key sensitivity; (3) the value of correlation of the encrypted image is null; (4) the scrambling process is good and generate high disorder at the output. As a result, our proposed scheme achieves a good balance between strong security and high performance.

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Cryptanalysis and Improvement of the Hyper-Chaotic Image Encryption Scheme Based on DNA Encoding and Scrambling

IEEE Photonics Journal ◽

10.1109/jphot.2018.2880590 ◽

2018 ◽

Vol 10 (6) ◽

pp. 1-15 ◽

Cited By ~ 15

Author(s):

Wei Feng ◽

Yi-Gang He

Keyword(s):

Image Encryption ◽

Encryption Scheme ◽

Dna Encoding ◽

Chaotic Image Encryption

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A Novel Hyperchaotic Image Encryption Scheme Based on DNA Encoding, Pixel-Level Scrambling and Bit-Level Scrambling

IEEE Photonics Journal ◽

10.1109/jphot.2018.2817550 ◽

2018 ◽

Vol 10 (2) ◽

pp. 1-14 ◽

Cited By ~ 34

Author(s):

Shuliang Sun

Keyword(s):

Image Encryption ◽

Encryption Scheme ◽

Dna Encoding

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Cryptanalysis and Improvement of a Color Image Encryption Scheme Based on DNA Sequences and Multiple 1D Chaotic Maps

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127419501037 ◽

2019 ◽

Vol 29 (08) ◽

pp. 1950103 ◽

Cited By ~ 4

Author(s):

Kirtee Panwar ◽

Ravindra Kumar Purwar ◽

Anchal Jain

Keyword(s):

Image Encryption ◽

Dna Sequences ◽

Chaotic Maps ◽

Color Image ◽

Encryption Scheme ◽

Dna Encoding ◽

Color Image Encryption ◽

Secret Keys ◽

Block Permutation ◽

Low Sensitivity

This paper presents cryptanalysis of a color image encryption scheme. DNA encoding and multiple 1D chaotic maps are used in the encryption process which increases its computational speed. The key streams generated in this scheme are dependent on secret keys, updated using the sum of pixel intensities of plain image of size [Formula: see text]. This paper analyzes the security of encryption scheme against the chosen plaintext attack and finds that only [Formula: see text] different key matrices for diffusion are possible, an equivalent version of which can be revealed with [Formula: see text] chosen plain images. Experimental results are presented to prove that equivalent diffusion keys and block permutation sequence can be effectively revealed through the attack. In addition, low sensitivity of keys towards changes in plaintext along with insecure diffusion process involved in encryption process is also reported. Finally, to remedy the shortcomings of the original encryption scheme, an enhanced encryption scheme is generated that can resist chosen/known plaintext attack while maintaining the merits of the original encryption scheme.

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An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN

10.21203/rs.3.rs-440962/v1 ◽

2021 ◽

Author(s):

Ugur Erkan ◽

Abdurrahim Toktas ◽

Serdar Enginoglu ◽

Enver Akbacak ◽

Dang N. H. Thanh

Keyword(s):

Image Encryption ◽

Key Generation ◽

Encryption Scheme ◽

Dna Encoding ◽

Differential Attack ◽

Deep Convolution Neural Network ◽

Deep Cnn ◽

Comparative Results ◽

And Control ◽

Log Map

Abstract A secure and reliable image encryption scheme is presented in this study. The encryption scheme hereby introduces a novel chaotic log-map, deep convolution neural network (CNN) model for key generation, and bit reversion operation for the manipulation process. Thanks to the sensitive key generation by the CNN, initial values and control parameters are produced for the chaotic log-map, and thus a diverse chaotic sequence is achieved for encrypting operations. The scheme then encrypts the images by scrambling and manipulating the pixels of images through four operations: permutation, DNA encoding, diffusion, and bit reversion. The encryption scheme is precisely examined for the well-known images in terms of various cryptoanalyses such as keyspace, key sensitivity, information entropy, histogram, correlation, differential attack, noisy attack, and cropping attack. To corroborate the scheme, the visual and numerical results are even compared with available outcomes of the state of the art. Therefore, the proposed log-map based image encryption scheme is successfully verified and validated by the superior absolute and comparative results.

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