Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks.

Hayajneh, T; Mohd, BJ; Imran, M; Almashaqbeh, G; Vasilakos, AV

Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks.

Hayajneh, T Mohd, BJ Imran, M Almashaqbeh, G Vasilakos, AV

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Sensors (Basel), 2016, 16, (4), pp. 424
Issue Date:: 2016-03-24

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Field	Value	Language
dc.contributor.author	Hayajneh, T
dc.contributor.author	Mohd, BJ
dc.contributor.author	Imran, M
dc.contributor.author	Almashaqbeh, G
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-08-11T20:41:00Z
dc.date.available	2016-03-17
dc.date.available	2022-08-11T20:41:00Z
dc.date.issued	2016-03-24
dc.identifier.citation	Sensors (Basel), 2016, 16, (4), pp. 424
dc.identifier.issn	1424-8220
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10453/159976
dc.description.abstract	There is broad consensus that remote health monitoring will benefit all stakeholders in the healthcare system and that it has the potential to save billions of dollars. Among the major concerns that are preventing the patients from widely adopting this technology are data privacy and security. Wireless Medical Sensor Networks (MSNs) are the building blocks for remote health monitoring systems. This paper helps to identify the most challenging security issues in the existing authentication protocols for remote patient monitoring and presents a lightweight public-key-based authentication protocol for MSNs. In MSNs, the nodes are classified into sensors that report measurements about the human body and actuators that receive commands from the medical staff and perform actions. Authenticating these commands is a critical security issue, as any alteration may lead to serious consequences. The proposed protocol is based on the Rabin authentication algorithm, which is modified in this paper to improve its signature signing process, making it suitable for delay-sensitive MSN applications. To prove the efficiency of the Rabin algorithm, we implemented the algorithm with different hardware settings using Tmote Sky motes and also programmed the algorithm on an FPGA to evaluate its design and performance. Furthermore, the proposed protocol is implemented and tested using the MIRACL (Multiprecision Integer and Rational Arithmetic C/C++) library. The results show that secure, direct, instant and authenticated commands can be delivered from the medical staff to the MSN nodes.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI
dc.relation.ispartof	Sensors (Basel)
dc.relation.isbasedon	10.3390/s16040424
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Analytical Chemistry
dc.subject.mesh	Algorithms
dc.subject.mesh	Computer Communication Networks
dc.subject.mesh	Computer Security
dc.subject.mesh	Electrocardiography
dc.subject.mesh	Humans
dc.subject.mesh	Medical Staff
dc.subject.mesh	Monitoring, Physiologic
dc.subject.mesh	Privacy
dc.subject.mesh	Remote Sensing Technology
dc.subject.mesh	Wireless Technology
dc.subject.mesh	Humans
dc.subject.mesh	Electrocardiography
dc.subject.mesh	Monitoring, Physiologic
dc.subject.mesh	Algorithms
dc.subject.mesh	Privacy
dc.subject.mesh	Computer Security
dc.subject.mesh	Computer Communication Networks
dc.subject.mesh	Medical Staff
dc.subject.mesh	Remote Sensing Technology
dc.subject.mesh	Wireless Technology
dc.title	Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks.
dc.type	Journal Article
utslib.citation.volume	16
utslib.location.activity	Switzerland
utslib.for	0301 Analytical Chemistry
utslib.for	0502 Environmental Science and Management
utslib.for	0602 Ecology
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-08-11T20:40:59Z
pubs.issue	4
pubs.publication-status	Published online
pubs.volume	16
utslib.citation.issue	4

Abstract:

There is broad consensus that remote health monitoring will benefit all stakeholders in the healthcare system and that it has the potential to save billions of dollars. Among the major concerns that are preventing the patients from widely adopting this technology are data privacy and security. Wireless Medical Sensor Networks (MSNs) are the building blocks for remote health monitoring systems. This paper helps to identify the most challenging security issues in the existing authentication protocols for remote patient monitoring and presents a lightweight public-key-based authentication protocol for MSNs. In MSNs, the nodes are classified into sensors that report measurements about the human body and actuators that receive commands from the medical staff and perform actions. Authenticating these commands is a critical security issue, as any alteration may lead to serious consequences. The proposed protocol is based on the Rabin authentication algorithm, which is modified in this paper to improve its signature signing process, making it suitable for delay-sensitive MSN applications. To prove the efficiency of the Rabin algorithm, we implemented the algorithm with different hardware settings using Tmote Sky motes and also programmed the algorithm on an FPGA to evaluate its design and performance. Furthermore, the proposed protocol is implemented and tested using the MIRACL (Multiprecision Integer and Rational Arithmetic C/C++) library. The results show that secure, direct, instant and authenticated commands can be delivered from the medical staff to the MSN nodes.

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http://hdl.handle.net/10453/159976