Research On Image Encryption Algorithm Based On Chaotic System And DNA Coding

Today,with the rapid spread of the Internet,human society has moved into the information era.With the rapid popularity of smartphones and the advent of the 5G era,the new media industry has been developing rapidly,and people have been exposed to more image and video information than traditional text information.As such an important information carrier,the security of digital images speaks for itself.More and more images and video information are being transmitted over the Internet,and the damage caused by an attack during the transmission process can be incalculable if the information is leaked or tampered with.Therefore,cryptographic researchers need to pay more attention to the security of image information than ever before.Due to the unique data structure of digital images,such as the strong correlation between individual pixels of an image,and the large amount of image data in general,the use of traditional cryptographic methods to encrypt the image data is not only difficult,but also difficult.This is when the use of traditional encryption methods for encrypting images is no longer appropriate and cannot meet the encryption needs of images,nor can it enable fast transmission of image information.In this context,there is a need to study encryption methods that are suitable for image data.The properties of chaotic systems fit well with cryptography theory,and the image encryption method combining chaos theory can effectively protect image data.However,the application of lowdimensional chaotic mapping and high-dimensional chaotic mapping in image encryption methods alone usually has the defects of insufficient security and low efficiency.Therefore,chaotic mappings with well-balanced performance and sufficiently secure encryption methods designed for image encryption are needed.In this paper,we construct a new chaotic mapping 2D-LSCM based on onedimensional sinusoidal mapping and logistic mapping,and experimentally test various chaotic characteristics of 2D-LSCM,including phase space,bifurcation diagram,Lyapunov exponential analysis,sensitivity analysis and complexity analysis.The experimental results are compared with the original chaotic mapping and it is known that the chaotic properties of the improved 2D-LSCM with 2D chaotic mapping are better.Then a new explicit correlated image dislocation method is proposed and combined with the bit position dislocation method to achieve the image dislocation.Then the final encryption of the image is achieved by using DNA dynamic encoding and computational methods for diffusion.The two scrambling methods combined with DNA technology make the proposed image encryption method secure and effective.The algorithm is experimentally simulated and a series of test analyses,such as histogram analysis,key sensitivity analysis,adjacent pixel correlation analysis,information entropy analysis,and robustness analysis,are conducted.The experimental results prove that the algorithm in this paper has a large enough key space and strong robustness,and can effectively resist common attacks such as statistical analysis attack,exhaustive attack,differential attack and clipping attack.The encryption algorithm in this paper is also applicable to color images.Finally,the encryption of color images is tested and good encryption and decryption results are obtained,which has certain practicality.