Heart-Beats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks

	Heart-Beats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks
	Heye Zhang; Subhas Chandra Mukhopadhyay; Yuan-Ting Zhang; Sandeep Pirbhulal; Wanqing Wu
刊名	IEEE Transactions on Biomedical Engineering
	2018
文献子类	期刊论文
英文摘要	Heartbeats based Random binary sequences (RBSs) are the backbone for several security aspects in wireless body sensor networks (WBSNs). However, current heartbeats based methods require a lot of processing time (~ 25-30 seconds) to generate 128-bit RBSs in real-time healthcare applications. In order to improve time efficiency, a biometric RBSs generation technique using inter-pulse intervals (IPIs) of heartbeats is developed in this study. The proposed technique incorporates finite monotonic increasing sequences generation mechanism of IPIs and cyclic block encoding procedure that extracts a high number of entropic bits from each IPI. To validate the proposed technique, 89 ECG recordings including 25 healthy individuals in a laboratory environment, 20 from MIT-BIH Arrhythmia Database (mitdb), and 44 cardiac patients from the clinical environment are considered. By applying the proposed technique on the ECG signals, at most 16 random bits can be extracted from each heartbeat to generate 128-bit RBSs via concatenation of eight consecutive IPIs. And the randomness and distinctiveness of generated 128-bit RBSs are measured based on the National Institute of Standards and Technology statistical (NIST) tests and hamming distance, respectively. From the experimental results, the generated 128-bit RBSs from both healthy subjects and patients can potentially be used as keys for encryption or entity identifiers to secure WBSNs. Moreover, the proposed approach is examined to be up to four times faster than the existing heartbeat-based RBSs generation schemes. Therefore, the developed technique necessitates less processing time (0-8 seconds) in real-time health monitoring scenarios to construct 128-bit RBSs in comparisons with current methods.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14167]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Heye Zhang,Subhas Chandra Mukhopadhyay,Yuan-Ting Zhang,et al. Heart-Beats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks[J]. IEEE Transactions on Biomedical Engineering,2018.
APA	Heye Zhang,Subhas Chandra Mukhopadhyay,Yuan-Ting Zhang,Sandeep Pirbhulal,&Wanqing Wu.(2018).Heart-Beats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks.IEEE Transactions on Biomedical Engineering.
MLA	Heye Zhang,et al."Heart-Beats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks".IEEE Transactions on Biomedical Engineering (2018).