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题名DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
作者
发表日期2020-10-01
发表期刊Information Fusion
ISSN/eISSN1566-2535
卷号62页码:32-46
摘要

Recently, there have been extensive studies on applying security and privacy protocols in Body Sensor Networks (BSNs) for patient healthcare monitoring (BSN-Health). Though these protocols provide adequate security to data packets, the collected data may still be compromised at the time of acquisition and before aggregation/storage in the severely resource-constrained BSNs. This leads to data collection frameworks being meaningless or undependable, i.e., an undependable BSN-Health. We study data dependability concerns in the BSN-Health and propose a data dependability verification framework named DependData with the objective of verifying data dependability through the decision-making in three layers. The 1st decision-making (1-DM) layer verifies signal-level data at each health sensor of the BSN locally to guarantee that collected signals ready for processing and transmission are dependable so that undependable processing and transmission in the BSN can be avoided. The 2nd decision-making (2-DM) layer verifies data before aggregation at each local aggregator (like clusterhead) of the BSN to guarantee that data received for aggregation is dependable so that undependable data aggregation can be avoided. The 3rd decision-making (3-DM) layer verifies the stored data before the data appears to a remote healthcare data user to guarantee that data available to the owner end (such as smartphone) is dependable so that undependable information viewing can be avoided. Finally, we evaluate the performance of DependData through simulations regarding 1-DM, 2-DM, and 3-DM and show that up to 92% of data dependability concerns can be detected in the three layers. To the best of our knowledge, DependData would be the first framework to address data dependability aside from current substantial studies of security and privacy protocols. We believe the three layers decision-making framework would attract a wide range of applications in the future.

关键词Body sensor networks Data dependability Data quality Decision-making Dependability Healthcare monitoring Security and privacy
DOI10.1016/j.inffus.2020.03.004
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000541381200003
Scopus入藏号2-s2.0-85083706225
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7112
专题个人在本单位外知识产出
通讯作者Li, Yafeng
作者单位
1.School of Computer Science, Baoji University of Arts and Sciences, China, 721007, China
2.Department of Computer and Information Sciences, Fordham University, 10458, United States
3.College of Computer Science and Technology, Huaqiao University, 361021, China
4.Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, 26300, Malaysia
5.The Department of Computer and Information Sciences, Temple University, 10121, United States
6.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam
7.Computer Science Department, College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq
推荐引用方式
GB/T 7714
Hai, Tao,Bhuiyan, Md Zakirul Alam,Wang, Jinget al. DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring[J]. Information Fusion, 2020, 62: 32-46.
APA Hai, Tao., Bhuiyan, Md Zakirul Alam., Wang, Jing., Wang, Tian., Hsu, D. Frank., .. & Liu, Penghui. (2020). DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring. Information Fusion, 62, 32-46.
MLA Hai, Tao,et al."DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring". Information Fusion 62(2020): 32-46.
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