Secure Medical Image Transmission Scheme Using Lorenz’s Attractor Applied in Computer Aided Diagnosis for the Detection of Eye Melanoma

Abstract

Early detection of diseases is vital for patient recovery. This article explains the design and technical matters of a computer-supported diagnostic system for eye melanoma detection implementing a security approach using chaotic-based encryption to guarantee communication security. The system is intended to provide a diagnosis; it can be applied in a cooperative environment for hospitals or telemedicine and can be extended to detect other types of eye diseases. The introduced method has been tested to assess the secret key, sensitivity, histogram, correlation, Number of Pixel Change Rate (NPCR), Unified Averaged Changed Intensity (UACI), and information entropy analysis. The main contribution is to offer a proposal for a diagnostic aid system for uveal melanoma. Considering the average values for 145 processed images, the results show that near-maximum NPCR values of 0.996 are obtained along with near-safe UACI values of 0.296 and high entropy of 7.954 for the ciphered images. The presented design demonstrates an encryption technique based on chaotic attractors for image transfer through the network. In this article, important theoretical considerations for implementing this system are provided, the requirements and architecture of the system are explained, and the stages in which the diagnosis is carries out are described. Finally, the encryption process is explained and the results and conclusions are presented.

Enhanced Color Image Encryption Utilizing a Novel Vigenere Method with Pseudorandom Affine Functions

“…Ciphering images is the process of protecting them by altering their pixels in a way that makes them indecipherable. It protects image confidentiality and integrity, particularly when the images are sensitive and confidential, as in the military case [1] and medical images [2,3]. Perturbations in ciphering steps complicate the statistical relationships between original and ciphered images and make predicting them difficult.…”

An Image Encryption Scheme Combining 2D Cascaded Logistic Map and Permutation-Substitution Operations

“…Without an appropriate decryption key, the image cannot be restored and understood [1,2]. Image encryption aims to protect the privacy and security of images, especially in situations where images are sensitive and confidential, such as medical [3,4], and military [5] images. In the context of encryption methods, Shannon's theory emphasizes the importance of the two main concepts of confusion and diffusion [3,6,7].…”

“…Image encryption aims to protect the privacy and security of images, especially in situations where images are sensitive and confidential, such as medical [3,4], and military [5] images. In the context of encryption methods, Shannon's theory emphasizes the importance of the two main concepts of confusion and diffusion [3,6,7]. Combining these two concepts aims to create a strong dependency between encrypted data and encryption keys.…”