Adaptive Computing based Biometric Security for Intelligent Medical Applications

	Adaptive Computing based Biometric Security for Intelligent Medical Applications
	Sandeep Pirbhulal; Guanglin Li; Wanqing Wu
刊名	Neural Computing and Applications
	2018
文献子类	期刊论文
英文摘要	For intelligent medical systems, clinical information security is one of critical requirements. Recently, Random Binary Sequences (RBSs) based on Inter-Pulse-Intervals (IPIs) were applied as secret keys to secure medical information in medical applications. Most of the existing RBS generation methods acquire a uniform quantity of bits per IPI, thereby requiring more processing time. However, the functional capacity of humans influences their heart rate variability, thereby resulting in the extraction of adaptive entropic bits per IPI across individuals. Therefore, adaptive computing based RBS generation method is proposed to extract a variable number of bits on the basis of the Heart Rate (HR) bands of individuals to provide a balance between processing time and security in WBSNs. The proposed method is evaluated by using ECG recordings of 126 subjects with dynamic scenarios. Our experimental results that 128-bit RBSs generated by applying the proposed method can be used as secret keys for entity identifiers or patient’s data encryption for securing intelligent medical applications. In this study, the hamming distance metric is used to measure the uniqueness of the generated RBSs, and randomness of RBSs is computed by means of statistical tests, for different HR bands. Furthermore, the processing time of the proposed method for RBS generation shows improvement compared with the conventional techniques. The proposed approach is approximately three times faster for 55≤HR<80 and approximately two times faster for 80≤HR<105 and 80≤HR<105 than the existing IPI-based RBS generation techniques. Therefore, this study has got real-time significance for smart healthcare applications.
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/172644/14186]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Sandeep Pirbhulal,Guanglin Li,Wanqing Wu. Adaptive Computing based Biometric Security for Intelligent Medical Applications[J]. Neural Computing and Applications,2018.
APA	Sandeep Pirbhulal,Guanglin Li,&Wanqing Wu.(2018).Adaptive Computing based Biometric Security for Intelligent Medical Applications.Neural Computing and Applications.
MLA	Sandeep Pirbhulal,et al."Adaptive Computing based Biometric Security for Intelligent Medical Applications".Neural Computing and Applications (2018).