TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

End-to-end encryption architecture for enhancing confidentiality and integrity in secure online examination system

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pp. 1–10Online FirstAugust 2026DOI: 10.47974/JIOS-2239XML
Received:
01 Jan 2026
Published Online:
10 Aug 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2239
Pages:
1–10

Abstract

During online exams, the primary focus is usually on using secure, reliable & nonduplicative communication methods. In contrast, many individuals try to access exam Questions and/or alter the answers given by students who take those exams. In addition to people trying to access examination materials, there are also a number of people who may try and use someone else’s identity to take that exam. The purpose of the proposed architecture discussed in this paper is to provide an end-to-end method of encryption utilizing particle swam optimization (PSO), ChaCha20 such that it can be used to provide better ways of generating keys, producing more randomness with keystreams, and reducing latency time incurred due to encryption during the entire process of taking the exam, from the time that question papers are issued until the students submit their answers. To accomplish this, although the primary means of validating the integrity of the entire exam process was SHA-256, a time-based one-time password was used to verify the user’s identity. Based on experimental results, the proposed architecture demonstrated significant reductions in both encryption/decryption times up to 24% as compared to current encryption methods like AES-256 and RSA-1024, and achieved higher throughput than other existing encryption methods. This indicates that the proposed architecture has a high level of resistance to a range of attack types, including statistical, differential, and man-in-the-middle attacks, and extremely low processing overhead, making it well-suited for large-scale, real-time examination environments.

Keywords

Subject Classifications

68P2594A6094A6268M10

References

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