A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

IF 5.5 2区医学 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Biomaterials Science & Engineering Pub Date : 2024-05-17 DOI:10.1049/cit2.12305

Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, M. Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam

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Abstract

Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key is compromised, posing a security threat. A secured cloud‐based medical data‐sharing system is proposed using a hybrid encryption model called A‐BRSA, which combines attribute‐based encryption (ABE) and B‐RSA encryption. The system utilises the Salp‐Ant Lion Optimisation Algorithm for optimal key selection. The encrypted data is stored in the cloud and transmitted to the recipient, where it is decrypted using A‐BRSA‐based decryption. The study measures turnaround time, encryption time, decryption time, and restoration efficiency to evaluate the system's performance. The results demonstrate the effectiveness of the A‐BRSA model in ensuring secure medical data sharing in cloud‐based s‐healthcare systems.

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利用 A-BRSA 和 Salp -Ant Lion 优化算法实现安全的云医疗数据共享

医疗服务提供者、研究人员和患者之间共享医疗数据对于高效的医疗服务至关重要。云辅助智能医疗保健（S-healthcare）系统使有效存储电子病历变得更加容易。然而，如果加密密钥被泄露，用于保护这些数据安全的传统加密算法就很容易受到攻击，从而构成安全威胁。本文提出了一种基于云的安全医疗数据共享系统，它采用了一种名为 A-BRSA 的混合加密模型，结合了基于属性的加密（ABE）和 B-RSA 加密。该系统利用 Salp-Ant Lion 优化算法来优化密钥选择。加密数据存储在云中并传输给接收方，接收方使用基于 A-BRSA 的解密方法对数据进行解密。研究测量了周转时间、加密时间、解密时间和恢复效率，以评估系统的性能。研究结果表明，A-BRSA 模型能有效确保基于云的 s-healthcare 系统中医疗数据的安全共享。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Biomaterials Science & Engineering Materials Science-Biomaterials

CiteScore

10.30

自引率

3.40%

发文量

413

期刊介绍： ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture