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

Author:

Binbusayyis Adel1,Alanazi Abed2,Alsubai Shtwai2,Alasiry Areej3,Marzougui Mehrez3,Alqahtani Abdullah1,Sha Mohemmed1ORCID,Aslam Muhammad4ORCID

Affiliation:

1. Department of Software Engineering College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Al Kharj Saudi Arabia

2. Department of Computer Science College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Al Kharj Saudi Arabia

3. College of Computer Science King Khalid University Abha Saudi Arabia

4. Department of Computer Science Aberystwyth University, Penglais Aberystwyth UK

Abstract

AbstractSharing 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.

Publisher

Institution of Engineering and Technology (IET)

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