An efficient medical image encryption scheme for (WBAN) based on adaptive DNA and modern multi chaotic map

Abstract

A Wireless Body Area Network (WBAN) is a network of wireless sensor nodes that can be installed inside or outside of the human body. This network is crucial in medical problems. Due to storage, battery power, and computational resource limitations, the security of medical information such as medical photographs or other information is a major concern in (WBAN). This work proposes an image encryption approach that addresses these constraints by utilizing adaptive DNA code bases and a new multi chaotic map architecture. DNA coding is used to enhances computing efficiency and gives great data transfer capabilities and the new multi chaotic map was formed by Combining Henon, Gaussian and Logistic map (HGL) To generate more chaotic pseudo-random sequences. Numerous analyses were conducted to test the proposed scheme, such as brute force, statistical, differential assaults and noise added analysis. Results indicated that this scheme has a strong level of security.