Journal
SENSORS
Volume 15, Issue 7, Pages 15067-15089Publisher
MDPI
DOI: 10.3390/s150715067
Keywords
Body Sensor Network (BSN); biometric; efficiency; Electrocardiogram (ECG); Heart Rate Variability (HRV); security
Funding
- Guangdong Innovation Research Team Fund for Low-Cost Health-Care Technologies in China
- Key Lab for Health Informatics of Chinese Academy of Sciences
- Enhancing Program of Key Laboratories of Shenzhen City [ZDSY20120617113021359]
- science technology and innovation committee of Shenzhen for research projects [CXZZ20140909004122087, JYJC20130327093948937, JCYJ20140414170821285, JCYJ20130401164750005]
- Guangzhou Science and Technology Planning Project [2014J4100153]
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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.
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