Title: Framework for concealing medical data in images using modified Hill cipher, multi-bit EF and ECDSA

Authors: R. Sreejith; S. Senthil

Addresses: Faculty of Engineering and Technology, School of Computing and Information Technology, REVA University, Bangalore – 560064, Karnataka, India ' School of Computer Science and Applications, REVA University, Bangalore – 560064, Karnataka, India

Abstract: Digitisation spread to the core area of the medical field and one of the results is telemedicine. Telemedicine provides the transfer of medical information of patients such as medical results, reports and images which closely deals with privacy. The real essence of telemedicine application relies on the secure storage and transfer of medical data over unsecured platform or network where the patient is remotely located from the service provider. The proposed work focused on combining security aspects into a single framework providing the CIA triad of security, i.e., confidentiality, integrity and authentication to achieve the above criteria, we use modified Hill cipher and multi-bit encoding function (EF) for confidentiality, ROI-based hashing for integrity and elliptic curve digital signature algorithm (ECDSA) for authentication. The experimental results prove the framework have a better embedding capacity with a comparatively higher PSNR value.

Keywords: telemedicine; security; data hiding; steganography; Hill cipher; differential expansion; DE; multi-bit embedding; elliptic curve; ECDSA.

DOI: 10.1504/IJICT.2021.117044

International Journal of Information and Communication Technology, 2021 Vol.19 No.2, pp.168 - 183

Received: 11 Sep 2019
Accepted: 21 Mar 2020

Published online: 13 Aug 2021 *

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