Research On Image Encryption Algorithm Based On Chaos And DNA Coding

Digital images are an important carrier of data transmission and widely used in information transmission in various fields such as enterprises,medical,and military.However,with the increase of network openness and sharing,the probability of malicious attacks such as tampering and theft of confidential images during transmission is constantly increasing,which poses great challenges to information security.Securing digital images has become a prominent area of research,with image encryption being a crucial method for maintaining the confidentiality and integrity of such images.Among them,image encryption is one of the important means to protect the confidentiality and integrity of digital images.As computing devices undergo continuous updates and computing efficiency and performance continue to improve,there is an increasing need for image encryption algorithms to generate ciphertext images that are secure and impossible to crack.Especially against the background of the increasing amount of data and the era of big data,how to effectively resist or identify attacks in image transmission and reduce transmission costs has attracted more and more researchers’attention.To tackle these challenges,this article proposes two image encryption schemes,combined with technologies such as simulated annealing and compressed sensing(CS),to address the various security requirements during the transmission of digital images.The main research work of this article is as follows:(1)An image encryption algorithm based on multiple random DNA coding and annealing(MRDESA)is proposed.The idea of image processing based on random changes of chaotic pixels is proposed.By using Logistic-Logistic Chaos(LLC)to increase the diversity of texture and encryption coding methods,to achieve a wider range of parameter selection and better randomness.The randomness and security of the coding process are improved by randomly selecting various DNA coding methods for each variable pixel and encoding them.After giving different weights to the information entropy,pixel correlation and the value of X~2 of the ciphertext image after pixel mutation,scrambling and diffusion,annealing iteration is carried out,and different encryption processes and good encryption results are carried out for different images.(2)A multi-randomized color medical image and speech encryption scheme based on permutation ordered binary number system(POB)and CS is proposed.The scheme uses a chaotic system to perform bit-level multi-random permutation on pixels,achieving changes in both pixel position and pixel value.Compressive sensing is applied to compress medical images to reduce transmission costs,and the POB encoding method is used to embed images into audio,achieving fusion of images and audio.Encrypted audio can be recovered with high quality,and encrypted medical images can be recovered in high quality or lossless form according to different requirements.Receivers of encrypted images with different permissions can recover the original images or original audio according to different keys,thus maximizing the protection of patients’privacy.