Fuzzy Logic-Based Substitution-Box for Robust Medical Image Encryption in Telemedicine

Abstract

Due to privacy and sensitivity of the medical images, the creation of strong medical image encryption schemes has gained the attention of cryptographers. In this study, a robust medical image encryption scheme is developed involving a fuzzy subset of integers from 1 to 256 characterized by membership values. The S-box entries are determined using a precise mathematical formulation. Various standard analyses are performed to check the reliability and security of the newly devised S-box. Furthermore, this newly devised S-box is utilized to design proposed encrypting technique. A thorough benchmarking analysis that is specifically designed for image encryption schemes has been conducted in order to assess the algorithm's performance. The findings of these analyses obtained through the proposed scheme, in comparison to some recently developed image encryption schemes; show that the proposed approach exhibits exceptional attributes and formidable cryptographic potency. Consequently, the algorithm not only showcases remarkable effectiveness but also holds great promise in the realm of securing medical images for telemedicine.

Medical Image Encryption Through Chaotic Asymmetric Cryptosystem

“…Additionally, certain proposed approaches have centered on bolstering the overall security of these strategies. The research [1] presents an encryption method for medical imagery using a fuzzy integer subset and Substitution-box (S-box) entries, followed by evaluations to assess their dependability and security effectiveness. This Sbox is applied in a newly suggested encryption strategy for medical images.…”