Managing Security of Healthcare Data for a Modern Healthcare System Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23073612
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental challenge that the modern healthcare management system faces is storing and securely transferring data. Therefore, this research proposes a novel Lionized remora optimization-based serpent (LRO-S) encryption method to encrypt sensitive data and reduce privacy breaches and cyber-attacks from unauthorized users and hackers. The LRO-S method is the combination of hybrid metaheuristic optimization and improved security algorithm. The fitness functions of lion and remora are combined to create a new algorithm for security key generation, which is provided to the serpent encryption algorithm. The LRO-S technique encrypts sensitive patient data before storing it in the cloud. The primary goal of this study is to improve the safety and adaptability of medical professionals’ access to cloud-based patient-sensitive data more securely. The experiment’s findings suggest that the secret keys generated are sufficiently random and one of a kind to provide adequate protection for the data stored in modern healthcare management systems. The proposed method minimizes the time needed to encrypt and decrypt data and improves privacy standards. This study found that the suggested technique outperformed previous techniques in terms of reducing execution time and is cost-effective.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23073612
- https://www.mdpi.com/1424-8220/23/7/3612/pdf?version=1680232114
- OA Status
- gold
- Cited By
- 110
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362519903
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4362519903Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s23073612Digital Object Identifier
- Title
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Managing Security of Healthcare Data for a Modern Healthcare SystemWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-30Full publication date if available
- Authors
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Abdulmohsen Almalawi, Asif Irshad Khan, Fawaz Alsolami, Yoosef B. Abushark, Ahmed S. AlfakeehList of authors in order
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https://doi.org/10.3390/s23073612Publisher landing page
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https://www.mdpi.com/1424-8220/23/7/3612/pdf?version=1680232114Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1424-8220/23/7/3612/pdf?version=1680232114Direct OA link when available
- Concepts
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Encryption, Computer science, Computer security, Cloud computing, Health care, Cryptography, Adaptability, Biology, Economic growth, Economics, Ecology, Operating systemTop concepts (fields/topics) attached by OpenAlex
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110Total citation count in OpenAlex
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2025: 46, 2024: 44, 2023: 20Per-year citation counts (last 5 years)
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35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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