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Erratum published on 16 March 2017, see Sensors 2017, 17(3), 607.

Open AccessArticle
Sensors 2015, 15(7), 15067-15089; doi:10.3390/s150715067

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

1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
Key Laboratory for Health Informatics of the Chinese Academy of Sciences (HICAS), Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China
4
School of Engineering and Advanced Technology, Massey University, Palmerston North 4442, New Zealand
5
Shenzhen Nanshan District Xili Hospital, Shenzhen 518055, China
6
Key Laboratory of Human-Machine-Intelligence Synergic System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen 518055, Guangdong, China
7
Joint Research Centre for Biomedical Engineering, Chinese University of Hong Kong, Shatin N.T., Hong Kong, China
3
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 26 March 2015 / Revised: 14 May 2015 / Accepted: 8 June 2015 / Published: 26 June 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [863 KB, uploaded 17 March 2017]   |  

Abstract

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. View Full-Text
Keywords: Body Sensor Network (BSN); biometric; efficiency; Electrocardiogram (ECG); Heart Rate Variability (HRV); security Body Sensor Network (BSN); biometric; efficiency; Electrocardiogram (ECG); Heart Rate Variability (HRV); security
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Pirbhulal, S.; Zhang, H.; Mukhopadhyay, S.C.; Li, C.; Wang, Y.; Li, G.; Wu, W.; Zhang, Y.-T. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks. Sensors 2015, 15, 15067-15089.

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