Secure Medical Image Encryption based on Intensity level using Chao’s theory and DNA Cryptography

Abstract

In the current era because of the advanced techniques in digital communication network, telemedicine is used to diagnose diseases in remote areas. Hence the broadcast of electronic medical images over internet has become frequent. Due to lack of security levels in internet broadcast of electronic medical image is always susceptible to hackers and other breaches of security. Ensuring the security, integrity and robustness of digital medical image has become an important issue. In this paper a novel approach is proposed using Chao’s theories and DNA encoding to provide the security for digital medical images. In the proposed method, firstly the input medical image is revamped into two DNA encoded matrices based on intensity levels. Later, for odd pixel value based DNA encoded matrix Chen’s hyper chaotic map and for even pixel value based DNA encoded matrix Lorenz chaotic map are used to produce the chaotic sequences separately. The pixels positions of both DNA encoded matrices are snarled using these chaotic sequences. Finally, ADD operation is used for the addition of snarled both DNA encoded matrices to attain an encrypted image. The decrypted image is acquired by inverse process of encryption. From the experimental results it is proved that proposed algorithm enhances the security level. It sustains the integrity, robustness and efficiency of digital medical image encryption.