Block Encryption Algorithm Of Color Image Based On Chaos And Neural Networks

In recent years,there have been many events that threaten information security in our country.These events make information security problems more and more prominent to become in our country.With the development of information technology such as the Internet of Things,more and more security problems need to be solved urgently.They arise during the transmission,storage and processing of text,gray images and color images.Chaos control system is a nonlinear dynamic system.The system is very sensitive to initial values,which is its advantage in the information encryption.The application of chaotic signals to information encryption has been a hot spot in recent years.Through nearly 20 years of exploration and development,the science and technology of chaotic secure communication have been further enriched and developed.Chaos technology has formed a new field and a new direction in the application of computer technology.It provides solutions to new problems and challenges in the Internet age.Because the chunking strategy can reduce the encryption and decryption time appropriately.And chunking strategy can also indirectly promote the diffusions and scrambling algorithms to proceed simultaneously.The thesis combines chunking technique and encryption technique as major entry points.It explores the two most effective encryption algorithms and obtains valuable academic conclusions.Firstly,summarizing research situations of image encryption.Further,the paper studys the color image block encryption algorithm based on RNA coding and the chaotic system.Finally,the color image block encryption algorithm combining cellular neural networks and Chua’s chaos is presented.The specific research results are as follows.A color image block encryption algorithm is proposed based on RNA encoding and a chaotic system.Based on the Pythagorean theorem and deformation formula,the algorithm proposes a new chaotic system,the 2D-NICM.The piecewise linear chaotic mapping(PWLCM)is associated with plain text to generate chaotic sequences,improving plain text’s sensitivity.The chaotic matrices generated by 2D-NICM and PWLCW are used for RNA encoding and diffusion scrambling,respectively.The scrambling and diffusion process in the encryption and decryption process are carried out at the same time.And they incorporated into the characteristics of plain text association.This method makes it impossible for attackers to attack separately from the scrambling and diffusion processes.Among them,RNA code increases the security performance of encryption.A color image block encryption algorithm combining cellular neural networks and Chua’s chaos is proposed.It first uses the chaotic sequences generated in CNN cellular neural networks to diffuse plain text images.The input of neural networks can be any six-pixel values in the image pixels after Fourier transformation.It uses different chaotic sequences to encrypt each color image("one key at a time").It effectively enhances the plain text sensitivity of image encryption algorithms.With the help of the chaotic sequence generated by Chua’s chaotic system,the windmill scrambling method is designed.Two processes of diffusion and scrambling are carried out simultaneously so that the algorithm can also resist the separate attacks of diffusion scrambling.Simulation and analysis results show that both algorithms have high security and practicability.