Title: A hybrid encryption for secure data deduplication the cloud

Authors: Silambarasan Elkana Ebinazer; Nickolas Savarimuthu; S. Mary Saira Bhanu

Addresses: Department of Computer Science and Engineering – Cyber Security, IIIT, Kottayam, India ' Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India

Abstract: Cloud computing (CC) is a cost-effective platform for users to store their data on the internet rather than investing in additional devices for storage. Data deduplication (DD) defines a process of eliminating redundant data in the cloud by leaving a single copy. This paper provides a hybrid encryption scheme using genetic algorithm (GA) and attribute-based encryption (ABE) to ensure secure data transmission in the cloud and preventing the data deduplication by using message locked encryption (MLE). The hybrid encryption scheme provides a secure data transmission in the cloud. From the simulation output, the time requirement is reduced up to 94% and consumes 43% bandwidth compared with existing works. The proposed method tends to be quite effective in reducing storage and bandwidth costs.

Keywords: data deduplication; genetic algorithm; attribute-based encryption; ABE; block level deduplication; cloud computing.

DOI: 10.1504/IJCC.2023.130904

International Journal of Cloud Computing, 2023 Vol.12 No.2/3/4, pp.295 - 307

Received: 23 Mar 2020
Accepted: 17 Dec 2020
Published online: 14 May 2023 *

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