Research On Image Encryption And Information Hiding Algorithm Based On Chaos Theory

With the development of cryptography,various encryption technologies have been widely used in the fields of financial services,aerospace,quantum communication,biotechnology,machine learning,and many novel technologies related to information security.In view of the shortcomings of existing image encryption and information hiding algorithms,a new sharing image encryption algorithm and three information hiding algorithms based on the universality and robustness of the improved chaotic system are proposed in this paper.The main research contents are as follows:The classical chaotic system,image encryption algorithm and information hiding algorithm are analyzed and expounded.For the problems of its poor diffusion effect,low security and poor robustness,a generalized shared matrixS^?k,n?is given.Combining it with Tent chaos,a new image encryption sharing algorithm is proposed.The image data after chaotic encryption and the proposed shared matrix are coded by the dot matrix to generate n images with half the size.Theoretical analysis proves that the proposed algorithm can be applied to image encryption and it satisfies the cryptographic criteria.The simulation results show that the algorithm can be applied to binary,grayscale and color images,and has the unique property of encrypting once as a random key.Security analysis shows that the space of the algorithm key is large,and it has the property of high security and robustness.The Henon chaotic system and its improved method are studied.By using the universality of the improved chaotic system and the redundancy of image block information,a reversible information hiding algorithm based on chaos theory and integer transform is proposed.In order to obtain better chaotic characteristics,the control parameters are added to the Henon chaotic system and a non-controlled full chaotic system that is gained.After the secret image information is encrypted by the improved chaotic system,it is hidden in the carrier image by the integer transform information hiding algorithm.Finally,a camouflage image with double security is obtained.The experimental results show that the proposed algorithm can achieve reversible recovery of carriers and secret messages,and has a high amount of information embedding,which is consistent with various security indicators.The principle of traditional histogram information hiding algorithm is studied.Based on the theoretical basis,an information hiding algorithm based on histogram association mapping is proposed.According to the redundancy of the histogram information in the block information,the embedding mode is divided into two types,RB and NRB,which overcomes the overflow problem of the traditional histogram information hiding calculation.The simulation results show that the maximum embedding rate of the algorithm can reach more than 60%;in the multi-application environment for salt and pepper,Gaussian and other noise,the embedding rate can reach more than 35%,and it has the property of certain anti-noise robustness.The principle of LBP and OPAP algorithm is studied.An information hiding method with high-capacity is designed by combining multiple LBP features with LSB.The image LBP feature is obtained by encoding the k bits ELBP of image,and the secret information is hidden in the LBP feature image by the r bits LSB algorithm.In order to improve the image quality,the image feature is adjusted by the OPAP method for the hidden feature image,and the high quality camouflage image is obtained after ELBP decoding.Although the method is irreversible,the basic visual information of the original image will not be lost.The PSNR of the original image and the camouflage image can reach 30 dB,and the algorithm embedding rate can reach 77%.The simulation results show that the proposed algorithm is safe and reliable,and it has a high embedding rate,and can resist steganographic analysis.