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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/9/11/1551 |
| _version_ | 1797510128165978112 |
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| author | Sugandh Bhatia Jyoteesh Malhotra |
| author_facet | Sugandh Bhatia Jyoteesh Malhotra |
| author_sort | Sugandh Bhatia |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:27:17Z |
| format | Article |
| id | doaj.art-1fdcd7eb24284cc8ad9bfb82685870c4 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T05:27:17Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-1fdcd7eb24284cc8ad9bfb82685870c42023-11-22T23:32:31ZengMDPI AGHealthcare2227-90322021-11-01911155110.3390/healthcare9111551Morton Filter-Based Security Mechanism for Healthcare System in Cloud ComputingSugandh Bhatia0Jyoteesh Malhotra1Department of Computer Science, Faculty of Engineering and Technology, Guru Nanak Dev University, Amritsar 143005, IndiaDepartment of Engineering and Technology, GNDU Regional Campus, Jalandhar 144007, IndiaElectronic 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.https://www.mdpi.com/2227-9032/9/11/1551COVID-19cloud computingdigital artifactsMorton filterE-health records |
| spellingShingle | Sugandh Bhatia Jyoteesh Malhotra Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing Healthcare COVID-19 cloud computing digital artifacts Morton filter E-health records |
| title | 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_short | Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing |
| title_sort | morton filter based security mechanism for healthcare system in cloud computing |
| topic | COVID-19 cloud computing digital artifacts Morton filter E-health records |
| url | https://www.mdpi.com/2227-9032/9/11/1551 |
| work_keys_str_mv | AT sugandhbhatia mortonfilterbasedsecuritymechanismforhealthcaresystemincloudcomputing AT jyoteeshmalhotra mortonfilterbasedsecuritymechanismforhealthcaresystemincloudcomputing |