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Makale detayı · 2020 · article

Design and Implementation of Encryption/Decryption Architectures for BFV Homomorphic Encryption Scheme

YÖKSİS OpenAlex Üst %10
Yıl2020
Atıf124OpenAlex
Atıf119Semantic Scholar · 18 etkili
Yüzdelik%97,8
FWCI7,961,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıIEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Katalog eşleşmesi (ISSN)IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Fully homomorphic encryption (FHE) is a technique that allows computations on encrypted data without the need for decryption and it provides privacy in various applications such as privacy-preserving cloud computing. In this article, we present two hardware architectures optimized for accelerating the encryption and decryption operations of the Brakerski/Fan-Vercauteren (BFV) homomorphic encryption scheme with high-performance polynomial multipliers. For proof of concept, we utilize our architectures in a hardware/software codesign accelerator framework, in which encryption and decryption operations are offloaded to an FPGA device, while the rest of operations in the BFV scheme are executed in software running on an off-the-shelf desktop computer. Specifically, our accelerator framework is optimized to accelerate Simple Encrypted Arithmetic Library (SEAL), developed by the Cryptography Research Group at Microsoft Research. The hardware part of the proposed framework targets the XILINX VIRTEX7 FPGA device, which communicates with its software part via a peripheral component interconnect express (PCIe) connection. For proof of concept, we implemented our designs targeting 1024degree polynomials with 8-bit and 32-bit coefficients for plaintext and ciphertext, respectively. The proposed framework achieves almost 12× and 7× latency speedups, including I/O operations for the offloaded encryption and decryption operations, respectively, compared to their pure software implementations.

Konular

Atıflar

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124atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 10 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2020 An Extensive Study of Flexible Design Methods for the Number Theoretic TransformAtıf 119 · OpenAlex
  2. 2021 Efficient number theoretic transform implementation on GPU for homomorphic encryptionAtıf 76 · OpenAlex
  3. 2020 FPGA implementation of a run-time configurable NTT-based polynomial multiplication hardwareAtıf 51 · OpenAlex
  4. 2023 Homomorphic Encryption on GPUAtıf 28 · OpenAlex
  5. 2022 An Accelerated GPU Library for Homomorphic Encryption Operations of BFV SchemeAtıf 11 · OpenAlex
  6. 2025 IO-Optimized Design-Time Configurable Negacyclic Seven-Step NTT Architecture for FHE ApplicationsAtıf 3 · OpenAlex
  7. 2024 HELP: Highly Efficient and Low-Latency Hardware Accelerator for Integer Polynomial MultiplicationAtıf 2 · OpenAlex
  8. 2023 Securing and Processing Biometric Data with Homomorphic Encryption for Cloud ComputingAtıf 2 · OpenAlex
  9. 2021 Halkla İlişkiler Ajansları için Bulut Tabanlı Güvenli Çok Taraflı Hesaplama ve İşbirliği Servisi - SMPCCaaSAtıf 1 · OpenAlex
  10. 2026 Optimized FPGA Architecture for Modular Reduction in NTTAtıf 0 · OpenAlex

Yazarlar

3
  1. ERKAY SAVAŞ SABANCI ÜNİVERSİTESİ 1
  2. ERDİNÇ ÖZTÜRK 2
  3. AHMET CAN MERT 3