Title: Jaya-based CAViaR: Hadamard product and key matrix for privacy preservation and data sharing in cloud computing environment

Authors: Shubangini Patil; Rekha Patil

Addresses: Computer Science and Engineering, Pooja Doddappa Appa College of Engineering, Gulbarga, Karnataka, India ' Pooja Doddappa Appa College of Engineering, Gulbarga, Karnataka, India

Abstract: Cloud computing system is a powerful computing resource mainly used for data publication and data subscription. Because cloud environment handles a large volume of information, privacy becomes a challenging task during data sharing. Hence, an effective method is designed for data privacy preservation using the proposed Jaya-based CAViaR model. The privacy factor is measured using Database Difference Ratio (DBDR), and the utility factor is designed using Tanimoto similarity measure. The data to be shared is protected using key matrix and Hadamard product such that the optimal matrix is generated using the proposed Jaya-based CAViaR model. The data sharing is accomplished among cloud storage, user and Third-Party Verification and Validation (TPVV), respectively. Moreover, the protected data is effectively retrieved using a key matrix. However, the proposed model obtained better performance in terms of metrics, like accuracy, fitness, privacy and utility, with 0.9737, 0.8691, 0.8976 and 0.8407, respectively.

Keywords: privacy preservation; data protection; data sharing; Tanimoto similarity measure; Jaya algorithm.

DOI: 10.1504/IJGUC.2023.132620

International Journal of Grid and Utility Computing, 2023 Vol.14 No.4, pp.389 - 399

Received: 04 Jul 2021
Accepted: 16 Oct 2021
Published online: 31 Jul 2023 *

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