title: An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks.
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.
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China. sandeep@siat.ac.cn.|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. sandeep@siat.ac.cn.
authors.forename: Sandeep
authors.initials: S
authors.lastname: Pirbhulal
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China. hy.zhang@siat.ac.cn.|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. hy.zhang@siat.ac.cn.
authors.forename: Heye
authors.initials: H
authors.lastname: Zhang
authors.affiliation: School of Engineering and Advanced Technology, Massey University, Palmerston North 4442, New Zealand. S.C.Mukhopadhyay@massey.ac.nz.
authors.forename: Subhas Chandra
authors.initials: SC
authors.lastname: Mukhopadhyay
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China. cy.li1@siat.ac.cn.|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. cy.li1@siat.ac.cn.
authors.forename: Chunyue
authors.initials: C
authors.lastname: Li
authors.affiliation: Shenzhen Nanshan District Xili Hospital, Shenzhen 518055, China. fox_gxh@sina.com.
authors.forename: Yumei
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China. gl.li@siat.ac.cn.|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. gl.li@siat.ac.cn.|Key Laboratory of Human-Machine-Intelligence Synergic System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen 518055, Guangdong, China. gl.li@siat.ac.cn.
authors.forename: Guanglin
authors.initials: G
authors.lastname: Li
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China. wq.wu@siat.ac.cn.|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. wq.wu@siat.ac.cn.
authors.forename: Wanqing
authors.initials: W
authors.lastname: Wu
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China. ytzhang@ee.cuhk.edu.hk.|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. ytzhang@ee.cuhk.edu.hk.|Joint Research Centre for Biomedical Engineering, Chinese University of Hong Kong, Shatin N.T., Hong Kong, China. ytzhang@ee.cuhk.edu.hk.
authors.forename: Yuan-Ting
authors.initials: YT
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000465:Algorithms; D001699:Biometry / Q000379:methods*; D003195:Computer Communication Networks; D003219:Confidentiality; D004562:Electrocardiography / Q000379:methods*; D004867:Equipment Design; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult
keywords: Body Sensor Network (BSN); Electrocardiogram (ECG); Heart Rate Variability (HRV); biometric; efficiency; security