https://lamintang.org/journal/index.php/ijeste <p>International Journal of Education, Science, Technology, and Engineering (IJESTE) is a peer-reviewed journal. The journal publishes original papers which contribute to the understanding of the structural and functional aspects of Education and Science towards the application of Technology and Engineering. IJESTE support the STEM.</p> <p>IJESTE published in English and twice a year (June and December).</p> en-US <p>The copyright to this article is transferred to International Journal of Education, Science, Technology, and Engineering (IJESTE) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to IJESTE. 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The copyright transfer covers the right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature. The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.</p> <p>Retained Rights/Terms and Conditions<br>1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the work.<br>2. Authors may reproduce or authorize others to reproduce the work or derivative works for the author’s personal use or for company use, provided that the source and the IJESTE copyright notice are indicated, the copies are not used in any way that implies IJESTE endorsement of a product or service of any employer, and the copies themselves are not offered for sale.<br>3. Although authors are permitted to re-use all or portions of the work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.</p> <p>The authors agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal (comments to the editor can be added at the "Comments for the Editor").</p> journal.lamintang@gmail.com (Yusram, S.Pd., M.Pd.) ijeste.lamintang@gmail.com (Andi Zaenal) Mon, 29 Jun 2026 00:00:00 +0000 OJS 3.1.2.0 http://blogs.law.harvard.edu/tech/rss 60 https://lamintang.org/journal/index.php/ijeste/article/view/894 <p>Fully Homomorphic Encryption (FHE) allows computation on ciphertext without decryption to provide confidentiality in privacy-critical use cases. However, its practical adoption remains limited due to very high computational overhead, scalability limitations, and susceptibility to attacks. This paper introduces an efficient hybrid FHE platform that integrates fast bootstrapping, key-switching optimization, and post-quantum security. The objectives are to: (1) minimize bootstrapping overhead to enhance computation efficiency; (2) optimize key-switching operations to improve scalability in encrypted computation; (3) enhance security by incorporating post-quantum cryptographic protocols such as lattice-based encryption; and (4) evaluate the feasibility of cloud computing, federated learning, and encrypted AI applications. To achieve these objectives, this work extends state-of-the-art FHE schemes (BFV, CKKS, and TFHE) by simplifying bootstrapping with lower computational cost, employing batch encryption methods to improve scalability, incorporating post-quantum security measures to resist quantum attacks, using Python-based deployments to verify practicality in real-world cloud security, federated learning, and encrypted AI inference, and enhancing quantum resistance through lattice-based key-switching methods. This paper also introduces an updated version of the Microsoft SEAL CKKS scheme that incorporates optimized bootstrapping parameters, improved key-switching, and SIMD-based parallelism. The proposed enhancements are benchmarked against the baseline Microsoft SEAL CKKS implementation, demonstrating considerable improvements in speed, memory efficiency, and security. Experimental results show a 36% reduction in bootstrapping time, a 36% improvement in key-switching evaluation, a 40% reduction in memory usage, and a 31% reduction in ciphertext size compared with the baseline SEAL CKKS implementation, together with a 15× improvement in resistance to lattice-reduction attacks and a 6× reduction in side-channel vulnerability. Overall, the proposed framework significantly improves the efficiency, scalability, and security of FHE, making it more suitable for practical real-world applications. Future work will explore hardware acceleration and adaptive encryption to further improve performance.</p> Zohra Zahid Hussain Qureshi, Bhumika Doshi, Aditya More, Kashyap Joshi, Kapil Kumar Copyright (c) 2026 International Journal of Education, Science, Technology, and Engineering (IJESTE) https://creativecommons.org/licenses/by-sa/4.0 https://lamintang.org/journal/index.php/ijeste/article/view/894 Sat, 27 Jun 2026 00:00:00 +0000