Research And Implementation Of Image Encryption Technology For IOS Mobile Intelligent Platform

Mobile terminals are becoming more and more intelligent promoted by the rapid development of mobile Internet. And the mobile intelligent terminal plays an important role in daily life. As a rich and vivid information medium, digital image was widely used in mobile intelligent terminals. Meanwhile, the security issues of images are also exposed and attract much attention. Therefore, developing effective encryption technology to ensure the security of digital images has become a major research direction in the field of information security.In this paper, the key technique of image encryption was analyzed,and an image encryption system model for mobile intelligent terminal based on iOS system was proposed. Also an image encryption algorithm suitable for mobile terminal was designed. Based on this system model and algorithm, the application software of image encryption application for iOS system was designed and implemented. The evaluation results show that the image encryption system can effectively encrypt digital images. The main contributions are summarized as follows:(1) An image encryption model based on pixel position scrambling and pixel value encryption was proposed. Combining with the structure and characteristics of digital image, the image encryption system model suitable for mobile intelligent terminal was put forward in this paper by analyzing the problems existing in image encryption of mobile intelligent terminal. The overall design of the model was studied and modules were described in detail combining with iOS system terminal features.(2) An image encryption algorithm based on Arnold transformation and Logistic chaotic system is designed and implemented. Specifically, in the image scrambling process, the pixel matrix of non-square image was divided into two parts: square matrix and small matrix. The square matrix was scrambled by Arnold transform, and the small matrix was scrambled by the Logistic chaotic map. These two matrixes are merged after scrambling. It can be seen from the simulation result that the problem that the Arnold transform is only applied to the position scrambling of the image with the same side length was solved. At the same time, Logistic map was used in the algorithm to generate chaotic sequences, which change pixel value and make pixel value diffusion. Therefore, a good encryption effect was obtained.(3) The software application of image encryption for iOS mobile intelligent terminals is designed and developed. Based on the system model and algorithm above, an image encryption system application software for iOS mobile intelligent terminals is designed and implemented. The overall architecture of the application was designed,while the specific implementation program of various functions is given and the performance has been evaluated.The image encryption algorithm proposed in this paper is feasible,practical and secure, which has certain value and reference significance for the research and applying of image encryption techniques in mobile intelligent terminal.