An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks

Body Sensor Network (BSN) is a network of several associated sensor nodes on, inside or around the human body to monitor vital signals, such as, Electroencephalogram (EEG), Photoplethysmography (PPG), Electrocardiogram (ECG), etc. Each sensor node in BSN delivers major information; therefore, it is...

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Main Authors:	Pirbhulal, Sandeep, Zhang, Heye, Mukhopadhyay, Subhas Chandra, Li, Chunyue, Wang, Yumei, Li, Guanglin, Wu, Wanqing, Zhang, Yuan-Ting
Format:	Online
Language:	English
Published:	MDPI 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541821/

id	pubmed-4541821
recordtype	oai_dc
spelling	pubmed-45418212015-08-26 An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks Pirbhulal, Sandeep Zhang, Heye Mukhopadhyay, Subhas Chandra Li, Chunyue Wang, Yumei Li, Guanglin Wu, Wanqing Zhang, Yuan-Ting Article Body Sensor Network (BSN) is a network of several associated sensor nodes on, inside or around the human body to monitor vital signals, such as, Electroencephalogram (EEG), Photoplethysmography (PPG), Electrocardiogram (ECG), etc. Each sensor node in BSN delivers major information; therefore, it is very significant to provide data confidentiality and security. All existing approaches to secure BSN are based on complex cryptographic key generation procedures, which not only demands high resource utilization and computation time, but also consumes large amount of energy, power and memory during data transmission. However, it is indispensable to put forward energy efficient and computationally less complex authentication technique for BSN. In this paper, a novel biometric-based algorithm is proposed, which utilizes Heart Rate Variability (HRV) for simple key generation process to secure BSN. Our proposed algorithm is compared with three data authentication techniques, namely Physiological Signal based Key Agreement (PSKA), Data Encryption Standard (DES) and Rivest Shamir Adleman (RSA). Simulation is performed in Matlab and results suggest that proposed algorithm is quite efficient in terms of transmission time utilization, average remaining energy and total power consumption. MDPI 2015-06-26 /pmc/articles/PMC4541821/ /pubmed/26131666 http://dx.doi.org/10.3390/s150715067 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Pirbhulal, Sandeep Zhang, Heye Mukhopadhyay, Subhas Chandra Li, Chunyue Wang, Yumei Li, Guanglin Wu, Wanqing Zhang, Yuan-Ting
spellingShingle	Pirbhulal, Sandeep Zhang, Heye Mukhopadhyay, Subhas Chandra Li, Chunyue Wang, Yumei Li, Guanglin Wu, Wanqing Zhang, Yuan-Ting An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks
author_facet	Pirbhulal, Sandeep Zhang, Heye Mukhopadhyay, Subhas Chandra Li, Chunyue Wang, Yumei Li, Guanglin Wu, Wanqing Zhang, Yuan-Ting
author_sort	Pirbhulal, Sandeep
title	An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks
title_short	An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks
title_full	An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks
title_fullStr	An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks
title_full_unstemmed	An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks
title_sort	efficient biometric-based algorithm using heart rate variability for securing body sensor networks
description	Body Sensor Network (BSN) is a network of several associated sensor nodes on, inside or around the human body to monitor vital signals, such as, Electroencephalogram (EEG), Photoplethysmography (PPG), Electrocardiogram (ECG), etc. Each sensor node in BSN delivers major information; therefore, it is very significant to provide data confidentiality and security. All existing approaches to secure BSN are based on complex cryptographic key generation procedures, which not only demands high resource utilization and computation time, but also consumes large amount of energy, power and memory during data transmission. However, it is indispensable to put forward energy efficient and computationally less complex authentication technique for BSN. In this paper, a novel biometric-based algorithm is proposed, which utilizes Heart Rate Variability (HRV) for simple key generation process to secure BSN. Our proposed algorithm is compared with three data authentication techniques, namely Physiological Signal based Key Agreement (PSKA), Data Encryption Standard (DES) and Rivest Shamir Adleman (RSA). Simulation is performed in Matlab and results suggest that proposed algorithm is quite efficient in terms of transmission time utilization, average remaining energy and total power consumption.
publisher	MDPI
publishDate	2015
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541821/
_version_	1613261456984244224

An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks

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