چكيده به لاتين
Advances in medical imaging in the healthcare sector have created a new challenge in the safe transmission of images. Development and Advances in technology have also posed threats to image transmission. Today, the security of medical image transfusion is an important issue for maintaining the security of patients' information. To achieve the security of image data in areas such as biomedicine and remote sensing, various methods and algorithms for image encryption have been proposed. To achieve the security of data in image form in areas such as biomedicine and remote sensing, various methods and algorithms for image encryption have been proposed. In digital images, there is usually a high correlation between adjacent pixels, so traditional cryptographic algorithms are not very suitable for encrypting them. Characteristics of chaotic systems, such as high sensitivity to initial conditions and quasi-randomness, make chaotic-based algorithms, in addition to simplicity, security, and low computational costs, faster to execute than traditional techniques.
The purpose of this study is to encrypt medical images using Sabzpushan new chaotic mapping. In this research, this mapping is used for image encryption for the first time. In this study, the advantages and disadvantages of the new mapping for encrypting medical images are investigated and the results are compared with some common chaotic mappings. The cryptographic method in this project is based on two steps: pixels displacement (image clutter), and Exclusive or operation. In this way, first the image is confusioned by pixels displacement, then a chaotic sequence equal to the dimensions of the image is created between its values and the mixed image is subjected to Exclusive or operations, which leads to the encryption of the image. The results of cryptography using Sabzpushan mapping are compared with the results obtained from Logistic and tent mapping using several criteria. The results confirm the hypothesis that more nonlinearity and the presence of a coefficient of shape in Sabzpushan mapping make it more random and, in general, lead to greater security and better results in cryptography.
