A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data

Mobile health networks (MHNWs) have facilitated instant medical health care and remote health monitoring for patients. Currently, a vast amount of health data needs to be quickly collected, processed and analyzed. The main barrier to doing so is the limited amount of the computational storage resour...

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Autores principales:	Fawza A. Al-Zumia, Yuan Tian, Mznah Al-Rodhaan
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	lightweight data fault tolerance privacy data aggregation cloud computing Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/915e125f446f44ac9496e01c3992a233
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id	oai:doaj.org-article:915e125f446f44ac9496e01c3992a233
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spelling	oai:doaj.org-article:915e125f446f44ac9496e01c3992a2332021-11-23T02:20:49ZA novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data10.3934/mbe.20213731551-0018https://doaj.org/article/915e125f446f44ac9496e01c3992a2332021-09-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021373?viewType=HTMLhttps://doaj.org/toc/1551-0018Mobile health networks (MHNWs) have facilitated instant medical health care and remote health monitoring for patients. Currently, a vast amount of health data needs to be quickly collected, processed and analyzed. The main barrier to doing so is the limited amount of the computational storage resources that are required for MHNWs. Therefore, health data must be outsourced to the cloud. Although the cloud has the benefits of powerful computation capabilities and intensive storage resources, security and privacy concerns exist. Therefore, our study examines how to collect and aggregate these health data securely and efficiently, with a focus on the theoretical importance and application potential of the aggregated data. In this work, we propose a novel design for a private and fault-tolerant cloud-based data aggregation scheme. Our design is based on a future ciphertext mechanism for improving the fault tolerance capabilities of MHNWs. Our scheme is privatized via differential privacy, which is achieved by encrypting noisy health data and enabling the cloud to obtain the results of only the noisy sum. Our scheme is efficient, reliable and secure and combines different approaches and algorithms to improve the security and efficiency of the system. Our proposed scheme is evaluated with an extensive simulation study, and the simulation results show that it is efficient and reliable. The computational cost of our scheme is significantly less than that of the related scheme. The aggregation error is minimized from ${\rm{O}}\left( {\sqrt {{\bf{w + 1}}} } \right)$ in the related scheme to O(1) in our scheme.Fawza A. Al-ZumiaYuan TianMznah Al-RodhaanAIMS Pressarticlelightweight datafault toleranceprivacydata aggregationcloud computingBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7539-7560 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lightweight data fault tolerance privacy data aggregation cloud computing Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	lightweight data fault tolerance privacy data aggregation cloud computing Biotechnology TP248.13-248.65 Mathematics QA1-939 Fawza A. Al-Zumia Yuan Tian Mznah Al-Rodhaan A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
description	Mobile health networks (MHNWs) have facilitated instant medical health care and remote health monitoring for patients. Currently, a vast amount of health data needs to be quickly collected, processed and analyzed. The main barrier to doing so is the limited amount of the computational storage resources that are required for MHNWs. Therefore, health data must be outsourced to the cloud. Although the cloud has the benefits of powerful computation capabilities and intensive storage resources, security and privacy concerns exist. Therefore, our study examines how to collect and aggregate these health data securely and efficiently, with a focus on the theoretical importance and application potential of the aggregated data. In this work, we propose a novel design for a private and fault-tolerant cloud-based data aggregation scheme. Our design is based on a future ciphertext mechanism for improving the fault tolerance capabilities of MHNWs. Our scheme is privatized via differential privacy, which is achieved by encrypting noisy health data and enabling the cloud to obtain the results of only the noisy sum. Our scheme is efficient, reliable and secure and combines different approaches and algorithms to improve the security and efficiency of the system. Our proposed scheme is evaluated with an extensive simulation study, and the simulation results show that it is efficient and reliable. The computational cost of our scheme is significantly less than that of the related scheme. The aggregation error is minimized from ${\rm{O}}\left( {\sqrt {{\bf{w + 1}}} } \right)$ in the related scheme to O(1) in our scheme.
format	article
author	Fawza A. Al-Zumia Yuan Tian Mznah Al-Rodhaan
author_facet	Fawza A. Al-Zumia Yuan Tian Mznah Al-Rodhaan
author_sort	Fawza A. Al-Zumia
title	A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
title_short	A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
title_full	A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
title_fullStr	A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
title_full_unstemmed	A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
title_sort	novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/915e125f446f44ac9496e01c3992a233
work_keys_str_mv	AT fawzaaalzumia anovelfaulttolerantprivacypreservingcloudbaseddataaggregationschemeforlightweighthealthdata AT yuantian anovelfaulttolerantprivacypreservingcloudbaseddataaggregationschemeforlightweighthealthdata AT mznahalrodhaan anovelfaulttolerantprivacypreservingcloudbaseddataaggregationschemeforlightweighthealthdata AT fawzaaalzumia novelfaulttolerantprivacypreservingcloudbaseddataaggregationschemeforlightweighthealthdata AT yuantian novelfaulttolerantprivacypreservingcloudbaseddataaggregationschemeforlightweighthealthdata AT mznahalrodhaan novelfaulttolerantprivacypreservingcloudbaseddataaggregationschemeforlightweighthealthdata
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A novel fault-tolerant privacy-preserving cloud-based data aggregation scheme for lightweight health data

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