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Securing Health Sensing Using Integrated Circuit Metric

Embedded and Intelligent Systems Research Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2015, 15(10), 26621-26642;
Received: 27 June 2015 / Revised: 29 September 2015 / Accepted: 13 October 2015 / Published: 20 October 2015
(This article belongs to the Section Physical Sensors)
Convergence of technologies from several domains of computing and healthcare have aided in the creation of devices that can help health professionals in monitoring their patients remotely. An increase in networked healthcare devices has resulted in incidents related to data theft, medical identity theft and insurance fraud. In this paper, we discuss the design and implementation of a secure lightweight wearable health sensing system. The proposed system is based on an emerging security technology called Integrated Circuit Metric (ICMetric) that extracts the inherent features of a device to generate a unique device identification. In this paper, we provide details of how the physical characteristics of a health sensor can be used for the generation of hardware “fingerprints”. The obtained fingerprints are used to deliver security services like authentication, confidentiality, secure admission and symmetric key generation. The generated symmetric key is used to securely communicate the health records and data of the patient. Based on experimental results and the security analysis of the proposed scheme, it is apparent that the proposed system enables high levels of security for health monitoring in resource optimized manner. View Full-Text
Keywords: ICMetric; accelerometer; authentication; confidentiality; remote healthcare; secure remote password protocol ICMetric; accelerometer; authentication; confidentiality; remote healthcare; secure remote password protocol
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Tahir, R.; Tahir, H.; McDonald-Maier, K. Securing Health Sensing Using Integrated Circuit Metric. Sensors 2015, 15, 26621-26642.

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