Neural perceptron & strict lossless secret sharing oriented cryptographic science: fostering patients' security in the "new normal" COVID-19 E-Health.

Abstract

Patients’ data security is an open challenge on any telemedicine system. The challenge has been extended enough in this unprecedented corona virus led pandemic. COVID-19 has brought abrupt adaptations in medical sciences. To reduce corona virus transmission, quarantine yourself and opting for online services is mostly apt even during “New Normal” second wave of COVID-19. The emergence of telemedicine is a significant contribution in the medical sciences. Relevant online security and challenges are the contemporary and relevant challenges in COVID-19 E-Health. The objective of this proposed technique is to reinforce the technical safeguards to the electronic health system against the tricksters. Perceptron based session key and modified logistic map based intermediate key were proposed. A strict lossless secret sharing has been proposed to protect patients’ clinical reports and data. Participation of all the recipients is bare essential in regenerating the original report. Simple mathematical operations were carried out to develop the secret shares. Electing the head of the recipients has also been included here. Different secret shares were encapsulated with the proposed frame structure. The chaotic sequences in the ranges of r = [0.41,0.53], r = [0.61, 0.66], and r = [0.91, 0.99] on the initial values x = 3.64, 3.81, and 3.88 respectively were noted under this technique test. An appropriate correlation between the proposed encryption and cryptographic time, and proposed decryption and cryptographic time were found. Such values were rec= 0.989929 and rdc= 0.988828 respectively. Myriad mathematical tests likes of statistical randomization, brute force, graphical analysis, performance time, etc. were carried on the proposed technique. Their results have proved our efficacy in fostering the patients’ data transmission in “New Normal” COVID-19 E-Health.