A novel image encryption scheme based on conservative hyperchaotic system and closed-loop diffusion between blocks

In this paper, we propose a novel image encryption scheme based on a hybrid model of DNA computing, chaotic systems and hash functions The significant advantage of the proposed scheme is high efficiency The proposed scheme consists of the DNA level permutation and diffusion In the DNA level permutation, a mapping function based on the logistic map is applied on the DNA image to randomly change the position of elements in the DNA image In the DNA level diffusion, not only we define two new algebraic DNA operators, called the DNA left-circular shift and DNA right-circular shift, but we also use a variety of DNA operators to diffuse the permutated DNA image with the key DNA image The experimental results and security analyses indicate that the proposed image encryption scheme not only has good encryption effect and able to resist against the known attacks, but also is sufficiently fast for practical applications The MATLAB source code of the proposed image encryption scheme is publicly available at the URL: https://githubcom/EbrahimZarei64/ImageEncryption
 

An image encryption scheme based on a hybrid model of DNA computing, chaotic systems and hash functions

This paper presents a novel and robust chaos-based cryptosystem for secure transmitted images and four other versions. In the proposed block encryption/decryption algorithm, a 2D chaotic map is used to shuffle the image pixel positions. Then, substitution (confusion) and permutation (diffusion) operations on every block, with multiple rounds, are combined using two perturbed chaotic PWLCM maps. The perturbing orbit technique improves the statistical properties of encrypted images. The obtained error propagation in various standard cipher block modes demonstrates that the proposed cryptosystem is suitable to transmit cipher data over a corrupted digital channel. Finally, to quantify the security level of the proposed cryptosystem, many tests are performed and experimental results show that the suggested cryptosystem has a high security level.

A New Chaos-Based Cryptosystem for Secure Transmitted Images

Nucleic acids, including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), are natural biopolymers composed of nucleotides that store, transmit, and express genetic information. Overexpressed or underexpressed as well as mutated nucleic acids have been implicated in many diseases. Therefore, nucleic acid tests (NATs) are extremely important. Inspired by intracellular DNA replication and RNA transcription, in vitro NATs have been extensively developed to improve the detection specificity, sensitivity, and simplicity. The principles of NATs can be in general classified into three categories: nucleic acid hybridization, thermal-cycle or isothermal amplification, and signal amplification. Driven by pressing needs in clinical diagnosis and prevention of infectious diseases, NATs have evolved to be a rapidly advancing field. During the past ten years, an explosive increase of research interest in both basic research and clinical translation has been witnessed. In this review, we aim to provide comprehensive coverage of the progress to analyze nucleic acids, use nucleic acids as recognition probes, construct detection devices based on nucleic acids, and utilize nucleic acids in clinical diagnosis and other important fields. We also discuss the new frontiers in the field and the challenges to be addressed.

Nucleic Acid Tests for Clinical Translation.

Based on the Feistel network and dynamic deoxyribonucleic acid (DNA) encoding technology, an image encryption method is proposed using the “permutation-diffusion-scrambling” structure. First, the SHA-3 algorithm is used to calculate the hash value of the plaintext image as the initial value of the hyperchaotic system, and the chaos-generated sequence is used to generate the Hill cipher matrix to replace the image pixel. Second, the DNA sequence operation is used as the F function of the Feistel network. The DNA sequence database is used as the key K of Feistel network, and the image pixel value diffusion is realized by the Feistel network. Finally, further diffusion is carried out through the ciphertext feedback and through the ciphertext confusion and diffusion of three rounds of “chaotic scrambling-DNA encoding-Feistel transformation-DNA decoding,” making the ciphertext more random and resistant to attacks and ensuring that the encrypted ciphertext is more secure. The experimental results show that the proposed method can effectively encrypt the image and has prominent characteristics, such as strong plaintext sensitivity, a large key space, and excellent ciphertext statistical properties.

/pdf/an-image-encryption-method-based-on-the-feistel-network-and-gdjg1m4qre.pdf

An Image Encryption Method Based on the Feistel Network and Dynamic DNA Encoding

Image encryption is the most direct and effective technical means for protecting the security of image information. Based on the space filling property of the Hilbert curve and the infinite property of the H-geometric fractal, a new image encryption technique is proposed, which combines the pseudo-randomness of a hyperchaotic system and the sensitivity to initial values. First, the hash value of a plaintext image is calculated using the secure hash algorithm 3 (SHA-3) as the initial value of the piece-wise linear chaotic map (PWLCM) and Rossler chaotic systems, which associates the key with the plaintext. In addition, the chaotic sequences that are generated by the chaotic systems are used to scramble the global pixel positions and the pixel values of the images, thereby disturbing the distribution of the pixel positions and the pixel values. Second, the Hilbert curve and H-fractal are alternately used to scramble the local pixel positions and diffuse the pixel values twice. Finally, the ciphertext feedback is used to further enhance the confusion and diffusion characteristics of the algorithm in order to achieve higher security. The experimental results and security analysis show that the encryption technique has enough key space to resist exhaustive attacks and can effectively resist statistical attacks, differential attacks, noise attacks, and cropping attacks. It can be used for military, judicial, and other privacy-related digital images secure storage and network security transmissions.

A Chaos-Based Image Encryption Technique Utilizing Hilbert Curves and H-Fractals

This paper puts forward an image encryption approach using chaotic maps and genetic operations First, the Keccak algorithm is employed to compute the hash values of a plain-image as the initial values for chaotic map The sensitivity and pseudo randomness of chaotic map used for the initial conditions allows for pseudorandom sequences to be obtained by iterative logistic map to shuffle and permute the pixel positions and values of the image Second, in combination with the Henon map and the DNA coding technique, genetic operations at the bit level are used to achieve pixel selection, crossover and mutation, as well as further completion of pixel diffusion and scrambling, which significantly increases the difficulty of deciphering the algorithm Finally, the diffusion and confusion features of the algorithm are further strengthened by bidirectional exclusive OR operations with chaotic sequences The theoretical analysis and simulation results indicate that the algorithm is sensitive to keys and can effectively defend statistical and differential attacks, indicating that it has good security and application potential

An image encryption approach based on chaotic maps and genetic operations

Visual cryptography is a cryptographic technique that allows visual information to be encrypted in such a way that the decryption can be performed by humans. The power of DNA molecule comes from its memory capacity and parallel processing. In this article, a visual encryption algorithm based on DNA microarrays is proposed, which successfully integrates the advantages of the algorithm in information security with the natural advantages of modern biotechnology. The algorithm converts plaintext into QR code and then uses the visual encryption scheme to encrypt the QR code image. It combines with DNA microarray technology to achieve information encryption and decryption. Security analysis shows that this algorithm has high security.

A Visual Cryptography Scheme-Based DNA Microarrays

Aiming at the deficiency of the low sensitivity of DNA encoding and chaotic encryption algorithms to text and key, and the limited encoding rules of DNA, etc. This paper presents a new image encryption algorithm based on DNA dynamic encoding and hyper-chaotic system. Firstly, the algorithm uses the SHA-3 algorithm to process the original image, generate a set of hash values, perform the dynamic encoding of the generated hash values and then carry out XOR operation with the original image, and then the generated hash values through Hamming distance processing to generate the initial value of the hyper-chaotic system. Secondly, the S-box is constructed by the sequence values generated by the hyper-chaotic system, and the XOR-shift manipulation is performed to the image by using the S-box. Finally, the image is scrambled by the hyper-chaotic Chen System. The simulation results and theoretical analysis show that the algorithm improves the sensitivity of key and the security of data transmission, and has better ability of anti-exhaustive attack, statistical attack and differential attack.

Zheng Zhou

Papers

An Image Encryption Method Based on the Feistel Network and Dynamic DNA Encoding

A Chaos-Based Image Encryption Technique Utilizing Hilbert Curves and H-Fractals

An image encryption approach based on chaotic maps and genetic operations

A Visual Cryptography Scheme-Based DNA Microarrays

A New Image Encryption Algorithm Based on DNA Dynamic Encoding and Hyper-Chaotic System