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65 results about "DNA Computations" patented technology

A multi-channel color image chaotic encryption method based on DNA coding

The invention discloses a multi-channel color image chaotic encryption method based on DNA coding, relates to the field of digital image encryption, and aims to solve the problems that an existing image chaotic encryption scheme is insufficient, and a high-dimensional continuous time chaotic system is complex in discrete process algorithm, so that the safety of an encrypted image is low, and the acquisition of a discrete chaotic sequence is time-consuming. A six-dimensional discrete hyper-chaotic system is used for generating six groups of chaotic sequences, and a Hash function SHA-256 is usedfor generating a system iteration initial value; RGB (red, green and blue) components of the color image are extracted, DNA (deoxyribonucleic acid) coding is performed on each component to obtain a DNA matrix, the DNA matrixes is merged, a recombinant DNA matrix is constructed, and row and column scrambling operation is executed; Then, the scrambled DNA matrix is splitted into three matrixes withthe same size, respectively DNA calculation is carried out on the three matrixes and the three chaotic key matrixes subjected to DNA coding, and DNA decoding operation is carried out on the obtainedmatrixes; diffusion encryption operation is performed on the decoding matrix, wherein the encryption round number is determined by SHA-256. The encryption effect is good and the security is high.
Owner:HARBIN UNIV OF SCI & TECH

Image encryption algorithm based on memoristor hyper-chaotic system, cellular automaton and DNA calculation

ActiveCN106023052AImprove securityEnhanced resistance to brute force attacksImage data processing detailsChosen-plaintext attackCellular automation
The invention relates to an image encryption algorithm based on memoristor hyper-chaotic system, cellular automaton and DNA calculation. First of all, a four-dimensional memoristor hyper-chaotic system based on a Chua circuit is employed, at the same time, a secret key is generated by enabling a plaintext image on an SHA256 function; a pseudo random sequence generated by the chaos system is taken as a basis of DNA dynamic encoding, rules of cellular dynamic evolution are determined according to a DNA matrix after diffusion, and in an encryption process, partitioning processing is performed on the image; and finally, the image is encrypted through a pseudo DNA calculation method, and diffusion operation is carried out while the image is scrambled. According to the invention, on one hand, secret key space is increased and the capability of the algorithm in fending off violent attacks is enhanced; and on the other hand, the secret key is enabled to be generated through close reliance on a plaintext, the capability of the algorithm in fending off plaintext attacks is improved, the capability of fending off exhausive attacks is higher, parallel calculation is facilitated, the operation efficiency is further improved, and the security of the algorithm is improved.
Owner:HENAN UNIVERSITY

DNA sequence optimization method of improved gravitational search algorithm based on chaotic and hybrid Gaussian variation

The invention belongs to the code design field of DNA calculation, relates to the group intelligent optimization algorithm and DNA codes and particularly relates to a DNA sequence optimization methodof the improved gravitational search algorithm based on chaotic and hybrid Gaussian variation. The method is characterized in that firstly, all the DNA sequences are generated in the D-dimensional search space as the initial population, and the improved gravitational search algorithm based on chaotic and hybrid Gaussian variation is utilized for optimization, through continuous loop iteration, anoptimal solution to an optimization problem can be finally obtained; for the gravitational search algorithm, calculating the total combined force of each individual in different directions is needed,the individual's acceleration is then calculated according to the total combined force, the speed and the position of each individual are updated according to the acceleration, and so on, when the algorithm reaches the maximum number of iterations, algorithm search stops, and the better quality DNA sequence code can be finally constructed. The method is advantaged in that an optimal DNA code sequence satisfying multiple constraints can be searched.
Owner:DALIAN UNIV
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