Blockchain with Mayfly Optimization-based Chaotic Encryption Model for Smart and Secured Question Paper Sharing

Blockchain with Mayfly Optimization-based Chaotic Encryption Model for Smart and Secured Question Paper Sharing

© 2023 by IJETT Journal
Volume-71 Issue-2
Year of Publication : 2023
Author : B. Nagarajan, C. Ananth, N. Mohananthini
DOI : 10.14445/22315381/IJETT-V71I2P241

How to Cite?

B. Nagarajan, C. Ananth, N. Mohananthini, "Blockchain with Mayfly Optimization-based Chaotic Encryption Model for Smart and Secured Question Paper Sharing," International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 399-407, 2023. Crossref,

Recently, Blockchain (BC) has gained significant interest in several application areas of finance, entertainment, healthcare, education, etc. Examination plays a vital role in the education system. But there is a risk called question paper leaking (QPL), which can result in unfairness problems at the time of examinations. QPL can lead to some major challenges, like compromising education quality and loss of ethical standards. So, a smart and secure education system using BC can be developed for sharing question papers safely. With this motivation, this study develops a Blockchain with Mayfly Optimization-based Chaotic Encryption Model for Smart and Secured Question Sharing (BMFOCE-SSQS) technique. The proposed BMFOCE-SSQS technique aims to accomplish a secure question paper-sharing process. The presented BMFOCESSQS technique provides two levels of security using secret sharing and encryption processes. Firstly, the BMFOCE-SSQS technique executes multiple share creation (MSC) schemes, producing twelve different shares of each QP. Next, all the generated shares are tiled up to form an image. For the image encryption process, the MFOCE technique is employed in this study, where the MFO algorithm is used for the optimal key generation process. In addition, BC technology is used for the secure transmission of encrypted QPs. On the receiver side, the reversible process of decryption, unmerging of images, and share reconstruction take place. The experimental outcomes indicated that the BMFOCE-SSQS algorithms significantly improve the secure QP sharing process. A comparative analysis reported the better performance of the BMFOCE-SSQS technique over other existing models.

Examination system, Education, Blockchain, Security, Question Paper Sharing, Encryption

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