Securing clinic tele-diagnostic system using enhanced tiny encrypted radio frequency identification and image steganographic technique

Olaniyi, Olayemi and Arulogun, Oladiran and Omotosho, Adebayo and Onuh, Victor (2017) Securing clinic tele-diagnostic system using enhanced tiny encrypted radio frequency identification and image steganographic technique. International Journal of Telemedicine and Clinical Practices, 2 (3). pp. 242-266. ISSN 2052 - 8442

Text Adebayo Omotosho Securing clinic tele-diagnostic system using enhanced tiny encrypted radio frequency identification and image steganographic technique.pdf Download (30kB)

Abstract

Traditional health record systems are gradually giving way for automated solutions capable of delivery robust e-healthcare systems. Existing models of e-healthcare system carries with it challenges of privacy breach in electronic health record (EHR) authentication system. The existence of patients’ private data within the channel of communication could be intercepted, interpreted and used fraudulently leading to loss of data confidentiality. Also, an unprotected RFID tag in EHR system could be cloned and impersonated thus, depriving the patients of guaranteed privacy. In this paper, we present a cryptographic approach for securing data communications in clinic tele-diagnostic system (CTDS). Analysis of the performance of the system showed an imperceptible stego image with peak signal to noise ratio greater than 30 db. Furthermore, valid patient’s RFID tag was authenticated with the developed pseudo-random tiny encryption-based RFID-EHR system. The performance evaluation of the system portrays a system capable of counteracting the effects of tag cloning, location tracking and replay attacks in data communication channels of clinic tele-consultations.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software R Medicine > R Medicine (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Dr Adebayo Omotosho
Date Deposited:	30 Nov 2018 11:01
Last Modified:	30 Nov 2018 11:01
URI:	https://eprints.lmu.edu.ng/id/eprint/1457

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