Research On Color Image Encryption Algorithm Based On Chaotic Syste

With the rapid development of information and communication technology and the widespread use of the Internet at high speeds,people’s behavior in exchanging information with one another and with society as a whole has increased.Since images are intuitive and can convey a lot of information,they have taken the lead as the primary means of transmission in this process.However,compared with text information,image information has the characteristics of large amount of data,strong correlation and not easy to be divided,so the traditional block cipher is not suitable for encryption in the process of image transmission,which poses serious challenges to the security of image transmission.With the in-depth research of chaotic systems,researchers gradually found that chaotic systems have the characteristics of randomness and sensitivity,which is suitable for application in the field of image encryption.Therefore,this paper proposes a color image encryption scheme based on chaotic system through the study of image characteristics.The main research contents are as follows:(1)Aiming at the problem of the weak security of low-dimensional chaotic system and the complexity of high-dimensional chaotic system,a hybrid chaotic mapping algorithm based on onedimensional chaotic mapping and Lorenz is proposed.First,by optimizing the parameters and structure of the trigonometric function,a new anti-sinusoidal(AS)function is designed and used to generate 1-DCM model and permutation matrix.Secondly,through the plane decomposition of the color image,a self-encrypting matrix is formed to encrypt the image to enhance the adaptability of the encryption algorithm.In addition,the SHA function generates encryption algorithm parameters,which improves the correlation between the plain image and the key,and can effectively resist the selective plain attack.The simulation results show that the efficiency of image encryption and the robustness of the algorithm are improved by decomposing the image and modularizing the encryption process.(2)A new color image encryption scheme based on frequency domain and diagonal scrambling is proposed to solve the problem that the encryption algorithm based on spatial domain cannot reduce the frequency domain correlation of the algorithm.First,the color plain image is converted into frequency domain coefficient matrix(FDCM)through discrete cosine transform(DCT).Then the FDCM is encrypted and embedded according to the new two-dimensional coupled chaotic system(2DCS).Finally,the final encrypted image is generated through IDCT transformation.The simulation results show that this method has good performance in key space,key sensitivity,resistance to differential attack and information entropy,which is also superior to other encryption algorithms in statistical feature analysis.(3)Aiming at the problems of high image redundancy and slow encryption speed,a new image encryption algorithm is proposed by combining two-dimensional coupled map chaotic system and compression sensing technology.First,the improved 3D-NEAT method is used to scramble the color ordinary image,and the scrambled image is sparsely represented by DWT.Then,the sparse matrix is compressed and encrypted using the matrix generated by the new two-dimensional chaotic map(2DCM).Finally,the cipher is embedded into the color carrier image to obtain the visual encryption image.The simulation results show that the proposed 3D-NEAT scrambling algorithm can achieve parallel scrambling of multi-channel color images with less time overhead.In addition,the compression sensing technology is improved through the new 2DCM,which can simultaneously improve the peak signal-to-noise ratio(PSNR)and compression ratio of the image.Compared with other algorithms,this algorithm shows better performance in information entropy,correlation coefficient and other security aspects,which proves its excellent visual security,robustness and computational efficiency.Figure [38] Table [18] Reference [73]...