Cross-Platform Benchmarking of the FHE Libraries: Novel Insights into SEAL and OpenFHE

The rapid growth of cloud computing and data-driven applications has amplified privacy concerns, driven by the increasing demand to process sensitive data securely. Homomorphic encryption (HE) enables computation on encrypted data while maintaining privacy, making it a key solution for secure cloud computing. This paper provides a comprehensive evaluation of two leading HE libraries, SEAL and OpenFHE, examining their performance, usability, and support for prominent HE schemes such as BGV and CKKS. Our analysis highlights computational efficiency, memory usage, and scalability across Linux and Windows platforms, emphasizing their applicability in real-world scenarios. Results reveal that Linux outperforms Windows in computation efficiency, with OpenFHE emerging as the optimal choice across diverse cryptographic settings. This paper provides valuable insights for researchers and practitioners to advance privacy-preserving applications using FHE.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/ictcs65341.2025.10989417
Citations
1
Primary Topic
Web and Library Services
Type
article
Field-Weighted Citation Impact
3.25
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Cross-Platform Benchmarking of the FHE Libraries: Novel Insights into SEAL and OpenFHE

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1 citations
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article

Cross-Platform Benchmarking of the FHE Libraries: Novel Insights into SEAL and OpenFHE

Baraq Ghaleb, Sana Ullah Jan, Faneela, William J. Buchanan, Jawad Ahmad
article en
1 citations

Abstract

The rapid growth of cloud computing and data-driven applications has amplified privacy concerns, driven by the increasing demand to process sensitive data securely. Homomorphic encryption (HE) enables computation on encrypted data while maintaining privacy, making it a key solution for secure cloud computing. This paper provides a comprehensive evaluation of two leading HE libraries, SEAL and OpenFHE, examining their performance, usability, and support for prominent HE schemes such as BGV and CKKS. Our analysis highlights computational efficiency, memory usage, and scalability across Linux and Windows platforms, emphasizing their applicability in real-world scenarios. Results reveal that Linux outperforms Windows in computation efficiency, with OpenFHE emerging as the optimal choice across diverse cryptographic settings. This paper provides valuable insights for researchers and practitioners to advance privacy-preserving applications using FHE.

Prince Mohammad bin Fahd University (SA), Edinburgh Napier University (GB)
Openalex Percentile: Top 9%
Web and Library Services
3.25
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