Title: An enhanced two-level data sanitisation and elliptic curve cryptography encryption model for securing electronic healthcare data in a hybrid cloud platform

Authors: V. Ambica; A. Viji Amutha Mary

Addresses: Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu 600119, India; Vignana Bharathi Institute of Technology, India ' Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu 600119, India

Abstract: A secure framework for storing EHR in the hybrid cloud platform is implemented. At first, the required medical data is gathered from the database of the hospitals and split into sensitive and insensitive parts. The sensitive part is first encrypted with the data sanitisation method. The keys obtained are optimally chosen by the modified uniform number-based red fox optimisation (MUN-RFO). Then, the insensitive part is encrypted by optimal key-based data encryption scheme (OKDES), in which the same MUN-RFO algorithm is utilised to choose the optimal keys. The sensitive and insensitive data is combined and stored in the Hybrid Cloud. From the result analysis, the cost function of the MUN-RFO-OKDES is lower by 0.022% of HBA-OKDES, 0.011% of DHOA-OKDES, 0.0025% of EFO-OKDES and 0.001% of RFO-OKDES at 5th iteration for dataset 2. Numerous simulations are carried out to prove the security provided by the given data storage model in a hybrid cloud.

Keywords: hybrid cloud platform; electronic healthcare data; optimal key-based data encryption scheme; OKDES; modified uniform number-based red fox optimisation; MUN-RFO; data sanitisation.

DOI: 10.1504/IJCC.2025.145663

International Journal of Cloud Computing, 2025 Vol.14 No.1, pp.86 - 114

Received: 11 Aug 2023
Accepted: 04 Dec 2023
Published online: 11 Apr 2025 *

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