Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7889
Title: Securing clinic tele-diagnostic system using enhanced tiny encrypted radio frequency identification and image steganographic technique
Authors: Olaniyi, Olayemi Mikail
Arulogun, Oladiran Tayo
Omotosho, Adebayo
Onuh, O. V.
Keywords: e-health
RFID
electronic health record
privacy
TEA
confidentiality
security
crystography
stego-image
Issue Date: 2017
Publisher: Inderscience Publishers
Citation: Olaniyi, O. M. Arulogun, O.T., Omotosho, A. and Onuh, O.V. (2017), “Securing Clinic Tele-Diagnostic System using Enhanced Tiny Encrypted Radio Frequency Identification and Image Steganographic Technique’, International Journal of Telemedicine and Clinical Practice(IJTMCP).2(3),pp.242–266,DOI: 10.1504/IJTMCP.2017.10008683
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 crystographic 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.
Description: Securing clinic tele-diagnostic system using enhanced tiny encrypted radio frequency identification and image steganographic technique
URI: https://www.inderscience.com/info/inarticle.php?artid=87878
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7889
Appears in Collections:Computer Engineering

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