Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Electronic health records contain the patient’s sensitive information. If these data are acquired by a malicious user, it will not only cause the pilferage of the patient’s personal data but also affect the diagnosis and treatment. One of the most challenging tasks in cloud-based healthcare systems...

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Autores principales:	Sugandh Bhatia, Jyoteesh Malhotra
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	COVID-19 cloud computing digital artifacts Morton filter E-health records Medicine R
Acceso en línea:	https://doaj.org/article/1fdcd7eb24284cc8ad9bfb82685870c4
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spelling	oai:doaj.org-article:1fdcd7eb24284cc8ad9bfb82685870c42021-11-25T17:46:07ZMorton Filter-Based Security Mechanism for Healthcare System in Cloud Computing10.3390/healthcare91115512227-9032https://doaj.org/article/1fdcd7eb24284cc8ad9bfb82685870c42021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1551https://doaj.org/toc/2227-9032Electronic health records contain the patient’s sensitive information. If these data are acquired by a malicious user, it will not only cause the pilferage of the patient’s personal data but also affect the diagnosis and treatment. One of the most challenging tasks in cloud-based healthcare systems is to provide security and privacy to electronic health records. Various probabilistic data structures and watermarking techniques were used in the cloud-based healthcare systems to secure patient’s data. Most of the existing studies focus on cuckoo and bloom filters, without considering their throughputs. In this research, a novel cloud security mechanism is introduced, which supersedes the shortcomings of existing approaches. The proposed solution enhances security with methods such as fragile watermark, least significant bit replacement watermarking, class reliability factor, and Morton filters included in the formation of the security mechanism. A Morton filter is an approximate set membership data structure (ASMDS) that proves many improvements to other data structures, such as cuckoo, bloom, semi-sorting cuckoo, and rank and select quotient filters. The Morton filter improves security; it supports insertions, deletions, and lookups operations and improves their respective throughputs by 0.9× to 15.5×, 1.3× to 1.6×, and 1.3× to 2.5×, when compared to cuckoo filters. We used Hadoop version 0.20.3, and the platform was Red Hat Enterprise Linux 6; we executed five experiments, and the average of the results has been taken. The results of the simulation work show that our proposed security mechanism provides an effective solution for secure data storage in cloud-based healthcare systems, with a load factor of 0.9. Furthermore, to aid cloud security in healthcare systems, we presented the motivation, objectives, related works, major research gaps, and materials and methods; we, thus, presented and implemented a cloud security mechanism, in the form of an algorithm and a set of results and conclusions.Sugandh BhatiaJyoteesh MalhotraMDPI AGarticleCOVID-19cloud computingdigital artifactsMorton filterE-health recordsMedicineRENHealthcare, Vol 9, Iss 1551, p 1551 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 cloud computing digital artifacts Morton filter E-health records Medicine R
spellingShingle	COVID-19 cloud computing digital artifacts Morton filter E-health records Medicine R Sugandh Bhatia Jyoteesh Malhotra Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing
description	Electronic health records contain the patient’s sensitive information. If these data are acquired by a malicious user, it will not only cause the pilferage of the patient’s personal data but also affect the diagnosis and treatment. One of the most challenging tasks in cloud-based healthcare systems is to provide security and privacy to electronic health records. Various probabilistic data structures and watermarking techniques were used in the cloud-based healthcare systems to secure patient’s data. Most of the existing studies focus on cuckoo and bloom filters, without considering their throughputs. In this research, a novel cloud security mechanism is introduced, which supersedes the shortcomings of existing approaches. The proposed solution enhances security with methods such as fragile watermark, least significant bit replacement watermarking, class reliability factor, and Morton filters included in the formation of the security mechanism. A Morton filter is an approximate set membership data structure (ASMDS) that proves many improvements to other data structures, such as cuckoo, bloom, semi-sorting cuckoo, and rank and select quotient filters. The Morton filter improves security; it supports insertions, deletions, and lookups operations and improves their respective throughputs by 0.9× to 15.5×, 1.3× to 1.6×, and 1.3× to 2.5×, when compared to cuckoo filters. We used Hadoop version 0.20.3, and the platform was Red Hat Enterprise Linux 6; we executed five experiments, and the average of the results has been taken. The results of the simulation work show that our proposed security mechanism provides an effective solution for secure data storage in cloud-based healthcare systems, with a load factor of 0.9. Furthermore, to aid cloud security in healthcare systems, we presented the motivation, objectives, related works, major research gaps, and materials and methods; we, thus, presented and implemented a cloud security mechanism, in the form of an algorithm and a set of results and conclusions.
format	article
author	Sugandh Bhatia Jyoteesh Malhotra
author_facet	Sugandh Bhatia Jyoteesh Malhotra
author_sort	Sugandh Bhatia
title	Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing
title_short	Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing
title_full	Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing
title_fullStr	Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing
title_full_unstemmed	Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing
title_sort	morton filter-based security mechanism for healthcare system in cloud computing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1fdcd7eb24284cc8ad9bfb82685870c4
work_keys_str_mv	AT sugandhbhatia mortonfilterbasedsecuritymechanismforhealthcaresystemincloudcomputing AT jyoteeshmalhotra mortonfilterbasedsecuritymechanismforhealthcaresystemincloudcomputing
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Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

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