A Prediction based Encryption Approach for Telemedicine Applications

Abstract

The rapid progression of health care technologies systems and transmission strategies makes it reliable to gain, dispense and manage data over medical devices and as well improves conventional hospital information systems (HIS) to deliver effective health care services. When the medical information is communicated through wireless network, there exists a high chance of modifying the information. Before examining the patient, the physician has to check for the integrity of received medical image. A futuristic tele healthcare framework has been proposed to ensure the security, for offering complete healthcare services at reduced cost. In this paper, the proposed framework encompasses the integration of three modules viz. Prediction, Padding and Chaotic map encryption. This work offers an enhanced security for both patient medical data as well as medical scan images to a great extent. Two processes are involved in the padding sequence namely: forward and backward snail tour. After the snail tour process, the adjacent pair of pixels in the original image is XORing in order to make it ready for further process using the chaotic map encryption algorithm. Three operations have been carried out in chaotic approach namely: permutation, diffusion and substitution. This encryption method arises, a valid confusion and diffusion in the image pixels such that, the security of the images/data is enhanced. The performance of the proposed approach is assessed and compared with existing schemes such as ECC and Chaotic map encryption on a set of MRI/CT medical images. Experimental outcomes demonstrate that the proposed framework offers robustness in terms of security, quality and reliability which alleviate misdiagnosis at the physician end in telemedicine applications.