Improved storage capacity for health care center using ant lion- ramp secret sharing scheme for data deduplication in cloud computing

Article type: Research Article

Authors: Neelamegam, G.^{; *} | Marikkannu, P.

Affiliations: Anna University Regional Campus, Coimbatore

Correspondence: [*] Corresponding author. G. Neelamegam, Research Scholar, Anna University Regional Campus Coimbatore. E-mail: neelamegamgopalphd@gmail.com.

Abstract: The Cloud-based storage is able to store more information in gigabyte size in all formats such as text, image or video and it can access at any time with their login credentials. In such a system, reducing the duplication of data and increasing security is an important factor for efficient storage. In this work, the file level de-duplication process is applied on the Magnetic Resonance Imaging (MRI) brain image by reducing the shares of the image to retrieve an original image from the cloud. To reduce the storage problem in this an optimization-based RSSS is used. The objective of this investigation is to decrease the storage blow-up problem in Cloud storage and reduce the duplicate files in the Cloud storage of the health care centre. The proposed model comprises of two subsets: In the first set, the input image is divided into a number of shares using RSSS scheme. In the second set, the minimum share is determined by using the optimization process and it is encrypted and it is stored in the Cloud. Initially, the image is divided into number of shares for reconstructing using the ramp secret sharing scheme.Without these shares, the original image cannot be recovered. But storing all the shares result in high storage capacity. It is overcome with the help of Ant Lion optimization (ALO) to determine the minimum number of shares required for recovering the image. The ALO works to minimizing the Mean Square Error (MSE) of the image reconstruction to find the minimum shares. Then, the minimum shares are encrypted and converted into hash keys. Those hash keys are stored in the Cloud storage. The proposed ALO-RSSS is achieved its objective by reducing the shares to 2 as compared to the traditional method as well as the PSNR is 27% improved.

Keywords: Cloud security, data de-duplication, ramp secret sharing scheme, ant lion optimization, shares, storage blow up

DOI: 10.3233/JIFS-212898

Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 7471-7484, 2022