An efficient data masking for securing medical data using DNA encoding and chaotic system

Abstract

Data security is of utmost importance for ubiquitous computing of medical/diagnostic data or images. Along with that must consider preserving the privacy of patients. Recently, deoxyribose nucleic acid (DNA) sequences and CSs are jointly used for building efficient data masking models. However, the state-of-art method is not robust against cropping attack (CA) and noise. Since in the existing model most of the digits of each pixel are not changed. This work represents efficient-data-masking (EDM) using chaos and the DNA based encryption technique for securing the healthcaredata. For overcoming the research challenges the effective-bit-scrambling technique is needed. At first, this work represents an efficient bit-scrambling using the logistic-sin-map, and the PS-utilizing the chaotic system. Then the substitution is carried out between them to resist against SA, DA, and CA. the experiments are conducted on the standard assuming the diverse images. The gained result represents that the introduced model is very efficient when compared to the existing models.