A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data
In the context of healthcare, big data refers to a complex compilation of digital medical data collected from many sources that are difficult to manage with normal technology and software due to its size and complexity. These big data are useful in various aspects of healthcare, such as disease diag...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/12/2646 |
| _version_ | 1797595094200614912 |
|---|---|
| author | Abdullah Alabdulatif Navod Neranjan Thilakarathne Kassim Kalinaki |
| author_facet | Abdullah Alabdulatif Navod Neranjan Thilakarathne Kassim Kalinaki |
| author_sort | Abdullah Alabdulatif |
| collection | DOAJ |
| description | In the context of healthcare, big data refers to a complex compilation of digital medical data collected from many sources that are difficult to manage with normal technology and software due to its size and complexity. These big data are useful in various aspects of healthcare, such as disease diagnosis, early prevention of diseases, and predicting epidemics. Even though medical big data has many advantages and a lot of potential for revolutionizing healthcare, it also has a lot of drawbacks and problems, of which security and privacy are of the utmost concern, owing to the severity of the complications once the medical data is compromised. On the other hand, it is evident that existing security and privacy safeguards in healthcare organizations are insufficient to protect their massive, big data repositories and ubiquitous environment. Thus, motivated by the synthesizing of the current knowledge pertaining to the security and privacy of medical big data, including the countermeasures, in the study, firstly, we provide a comprehensive review of the security and privacy of medical big data, including countermeasures. Secondly, we propose a novel cloud-enabled hybrid access control framework for securing the medical big data in healthcare organizations, and the result of this research indicates that the proposed access control model can withstand most cyber-attacks, and it is also proven that the proposed framework can be utilized as a primary base to build secure and safe medical big data solutions. Thus, we believe this research would be useful for future researchers to comprehend the knowledge on the security and privacy of medical big data and the development of countermeasures. |
| first_indexed | 2024-03-11T02:32:35Z |
| format | Article |
| id | doaj.art-4c1a325a505148f5bf6f3bc749785c1c |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T02:32:35Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4c1a325a505148f5bf6f3bc749785c1c2023-11-18T10:08:39ZengMDPI AGElectronics2079-92922023-06-011212264610.3390/electronics12122646A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big DataAbdullah Alabdulatif0Navod Neranjan Thilakarathne1Kassim Kalinaki2Department of Computer, College of Sciences and Arts in Al-Rass, Qassim University, Al-Rass 51452, Saudi ArabiaDepartment of ICT, Faculty of Technology, University of Colombo, Colombo 00700, Sri LankaDepartment of Computer Science, Islamic University in Uganda (IUIU), Mbale P.O. Box 2555, UgandaIn the context of healthcare, big data refers to a complex compilation of digital medical data collected from many sources that are difficult to manage with normal technology and software due to its size and complexity. These big data are useful in various aspects of healthcare, such as disease diagnosis, early prevention of diseases, and predicting epidemics. Even though medical big data has many advantages and a lot of potential for revolutionizing healthcare, it also has a lot of drawbacks and problems, of which security and privacy are of the utmost concern, owing to the severity of the complications once the medical data is compromised. On the other hand, it is evident that existing security and privacy safeguards in healthcare organizations are insufficient to protect their massive, big data repositories and ubiquitous environment. Thus, motivated by the synthesizing of the current knowledge pertaining to the security and privacy of medical big data, including the countermeasures, in the study, firstly, we provide a comprehensive review of the security and privacy of medical big data, including countermeasures. Secondly, we propose a novel cloud-enabled hybrid access control framework for securing the medical big data in healthcare organizations, and the result of this research indicates that the proposed access control model can withstand most cyber-attacks, and it is also proven that the proposed framework can be utilized as a primary base to build secure and safe medical big data solutions. Thus, we believe this research would be useful for future researchers to comprehend the knowledge on the security and privacy of medical big data and the development of countermeasures.https://www.mdpi.com/2079-9292/12/12/2646securitypublic cloudaccess controlencryptionprivate clouddata privacy |
| spellingShingle | Abdullah Alabdulatif Navod Neranjan Thilakarathne Kassim Kalinaki A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data Electronics security public cloud access control encryption private cloud data privacy |
| title | A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data |
| title_full | A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data |
| title_fullStr | A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data |
| title_full_unstemmed | A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data |
| title_short | A Novel Cloud Enabled Access Control Model for Preserving the Security and Privacy of Medical Big Data |
| title_sort | novel cloud enabled access control model for preserving the security and privacy of medical big data |
| topic | security public cloud access control encryption private cloud data privacy |
| url | https://www.mdpi.com/2079-9292/12/12/2646 |
| work_keys_str_mv | AT abdullahalabdulatif anovelcloudenabledaccesscontrolmodelforpreservingthesecurityandprivacyofmedicalbigdata AT navodneranjanthilakarathne anovelcloudenabledaccesscontrolmodelforpreservingthesecurityandprivacyofmedicalbigdata AT kassimkalinaki anovelcloudenabledaccesscontrolmodelforpreservingthesecurityandprivacyofmedicalbigdata AT abdullahalabdulatif novelcloudenabledaccesscontrolmodelforpreservingthesecurityandprivacyofmedicalbigdata AT navodneranjanthilakarathne novelcloudenabledaccesscontrolmodelforpreservingthesecurityandprivacyofmedicalbigdata AT kassimkalinaki novelcloudenabledaccesscontrolmodelforpreservingthesecurityandprivacyofmedicalbigdata |