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Fully Homomorphic Encryption for Secure Cloud Computation


Authors : Sreekutty Sabarivasan; Dr. Ashish L.

Volume/Issue : Volume 11 - 2026, Issue 2 - February


Google Scholar : https://tinyurl.com/bdhn9p36

Scribd : https://tinyurl.com/2tat6pt5

DOI : https://doi.org/10.38124/ijisrt/26feb1493

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Fully Homomorphic Encryption (FHE) is an advanced cryptographic technique that enables computation on encrypted data without requiring decryption. This capability eliminates the need to expose sensitive data during processing, making FHE particularly suitable for cloud computing, healthcare analytics, financial systems, and privacypreserving artificial intelligence. Despite its strong theoretical foundation, FHE faces practical challenges including high computational complexity, large ciphertext expansion, and bootstrapping overhead. This paper presents a comprehensive study of FHE, including its theoretical background, working mechanism, security properties, real-world applications, limitations, and emerging research trends.

Keywords : Fully Homomorphic Encryption, Cloud Security, Bootstrapping, Lattice Cryptography, Privacy-Preserving Computation.

References :

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  4. C. Marcolla et al., Survey on fully homomorphic encryption, *Journal of Cryptology*, Vol. 35, 2022.
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  6. J. Fan and F. Vercauteren, Somewhat practical FHE, *IACR ePrint*, Vol. 2012/144, 2012.
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  9. P. Fauzi et al., IND-CCA1 security of FHE, *PKC*, Vol. 13178, 2022.
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  11. A. Akavia and M. Vald, Privacy of homomorphic protocols, *TCC*, Vol. 20042, 2021.
  12. I. Chillotti et al., Attacking FHE applications, *FHE Standards Workshop*, Vol. 3, 2016.
  13. S. Goldwasser et al., Reusable garbled circuits, *FOCS*, Vol. 54, 2013.
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Fully Homomorphic Encryption (FHE) is an advanced cryptographic technique that enables computation on encrypted data without requiring decryption. This capability eliminates the need to expose sensitive data during processing, making FHE particularly suitable for cloud computing, healthcare analytics, financial systems, and privacypreserving artificial intelligence. Despite its strong theoretical foundation, FHE faces practical challenges including high computational complexity, large ciphertext expansion, and bootstrapping overhead. This paper presents a comprehensive study of FHE, including its theoretical background, working mechanism, security properties, real-world applications, limitations, and emerging research trends.

Keywords : Fully Homomorphic Encryption, Cloud Security, Bootstrapping, Lattice Cryptography, Privacy-Preserving Computation.

Paper Submission Last Date
31 - March - 2026

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