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DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring

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 acquisiti...

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Main Authors: Hai, Tao, Bhuiyan, Md Zakirul Alam, Wang, Jing, Wang, Tian, Hsu, D. Frank, Li, Yafeng, Salih, Sinan Q., Wu, Jie, Liu, Penghui
Format: Article
Language:English
Published: Elsevier 2020
Subjects:
QA76 Computer software
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/28377/1/DependData_data%20collection%20dependability%20through%20three.pdf
http://umpir.ump.edu.my/id/eprint/28377/
https://doi.org/10.1016/j.inffus.2020.03.004
https://doi.org/10.1016/j.inffus.2020.03.004
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spelling my.ump.umpir.283772021-01-22T07:19:49Z http://umpir.ump.edu.my/id/eprint/28377/ DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring Hai, Tao Bhuiyan, Md Zakirul Alam Wang, Jing Wang, Tian Hsu, D. Frank Li, Yafeng Salih, Sinan Q. Wu, Jie Liu, Penghui QA76 Computer software TA Engineering (General). Civil engineering (General) 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. Elsevier 2020-04-02 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28377/1/DependData_data%20collection%20dependability%20through%20three.pdf Hai, Tao and Bhuiyan, Md Zakirul Alam and Wang, Jing and Wang, Tian and Hsu, D. Frank and Li, Yafeng and Salih, Sinan Q. and Wu, Jie and Liu, Penghui (2020) DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring. Information Fusion, 62. pp. 32-46. ISSN 1566-2535 https://doi.org/10.1016/j.inffus.2020.03.004 https://doi.org/10.1016/j.inffus.2020.03.004
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
TA Engineering (General). Civil engineering (General)
spellingShingle QA76 Computer software
TA Engineering (General). Civil engineering (General)
Hai, Tao
Bhuiyan, Md Zakirul Alam
Wang, Jing
Wang, Tian
Hsu, D. Frank
Li, Yafeng
Salih, Sinan Q.
Wu, Jie
Liu, Penghui
DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
description 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.
format Article
author Hai, Tao
Bhuiyan, Md Zakirul Alam
Wang, Jing
Wang, Tian
Hsu, D. Frank
Li, Yafeng
Salih, Sinan Q.
Wu, Jie
Liu, Penghui
author_facet Hai, Tao
Bhuiyan, Md Zakirul Alam
Wang, Jing
Wang, Tian
Hsu, D. Frank
Li, Yafeng
Salih, Sinan Q.
Wu, Jie
Liu, Penghui
author_sort Hai, Tao
title DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
title_short DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
title_full DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
title_fullStr DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
title_full_unstemmed DependData: data collection dependability through three-layer decision-making in BSNs for healthcare monitoring
title_sort dependdata: data collection dependability through three-layer decision-making in bsns for healthcare monitoring
publisher Elsevier
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/28377/1/DependData_data%20collection%20dependability%20through%20three.pdf
http://umpir.ump.edu.my/id/eprint/28377/
https://doi.org/10.1016/j.inffus.2020.03.004
https://doi.org/10.1016/j.inffus.2020.03.004
_version_ 1690371135951077376
score 13.211869

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