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Research On Image Encryption Algorithm Based On Chaotic System And Its Parameter Optimization

Posted on:2024-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:J Y WangFull Text:PDF
GTID:2530306917484594Subject:Computational Mathematics
Abstract/Summary:PDF Full Text Request
Benefit from the mushroom growth of information technology,people transmit massive information on the Internet every day,which contains some privacy.To make the transmission of image information more secure,the image encryption scenario came into being.It protects the information content of the image and greatly reduces the chance of secret information being stolen.Since the application of encryption algorithm,scholars have put forward various schemes.The encryption algorithm based on chaotic map makes the image security further improved.Firstly,a new hyperchaotic map is put forward in this paper.Then,aiming at the initial value sensitivity of chaotic map,a particle swarm optimization(PSO)algorithm is designed to obtain better system initial values and parameters.Eventually,based on the system and optimization algorithm,the image encryption scenario is studied.The leading research work and innovative of this paper are as below.(1)The two-dimensional Sine Coupling Logistic Modulated Sine(2D-SCLMS)hyperchaos map system is designed.Based on one-dimensional Logistic and Sine map,the system is constructed.It has a larger parameter range and better chaotic characteristics than existing partial chaotic maps.In addition,this paper uses diversified methods to trial the chaotic performances of the proposed hyperchaotic map,such as Lyapunov exponent,0-1 test,complexity analysis and two different entropy analysis methods.(2)A parameter optimization scheme of intelligent chaotic system is put forward.The PSO is used to seek the optimized parameters and initial values of the2D-SCLMS system to obtain chaotic sequences with better randomness.The optimization objective function of PSO algorithm is the linear combination of information entropy(IE)of two chaotic sequences.In addition,based on the optimized chaotic map,the image is scrambled and exclusive nor.Logistic Sine Coupling Map(LSCM)is used to confuse the rows and columns of the image.The image encryption scenario is safe and efficient,contented the actual time encryption requirements.(3)An original domain lossless image encryption scheme based on optimized2D-SCLMS hyperchaotic map is designed.The encryption scheme mainly includes chaotic sequence preprocessing,block scrambling,expansion,confusion and diffusion.Firstly,a new method of block scrambling is designed,which traverses the whole image pixel from inside to outside in a square way.Then,the random number is added to the image through image expansion,which improves the ability to resist selective plaintext attacks.Finally,the confusion and diffusion are divided into two parts: row and column,and perform operations.Experimental emulation and security test manifest that the algorithm be provided with high security.(4)An image compression encryption scenario based on two chaotic maps and compression sensing(CS)is proposed.Firstly,a new scrambling method is designed,which divides the scrambling into row scrambling and column scrambling,and combines matrix rotation and row column scrambling respectively.Secondly,based on two-dimensional maps,namely 2D-SCLMS and Sine improved Logistic iterative chaotic map with infinite collapse(ICMIC)modulation map(SLIM),and combined with CS,a secure compression encryption scheme is designed.The algorithm can generate a smaller ciphertext image than the plaintext image,reducing the requirement of transmission bandwidth.
Keywords/Search Tags:chaotic system, image encryption, particle swarm optimization, compressed sensing
PDF Full Text Request
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