Automorphism Architecture for Bootstrapping Homomorphic Encryption

In Fully Homomorphic Encryption (FHE), Automorphism used to map very long vectors to new positions can exhibit varying patterns depending on the rotation index. However, increasing the polynomial degree introduces significant overhead in terms of both execution time and hardware resources. Furthermore, the data mapping process for each moduli generated by the Residue Number System (RNS) becomes dominant in terms of execution time. Therefore, RNS-based homomorphic encryption hardware architectures need to support processing data mapping in parallel while communicating with on-chip memory, and all rotation indices for bootstrapping. The proposed novel Automorphism architecture makes efficient use of FPGA resources and supports 8 parallel, so that the Batch Data becomes 128, and uses Xilinx's Built-In FIFO for intermediate storage. It also supports all rotation indices calculated by Cyclotomic degree (M=2*N).

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/isocc62682.2024.10762582
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Automorphism Architecture for Bootstrapping Homomorphic Encryption

Hanho Lee, Hanyoung Lee
Cryptographic Implementations and Security
article

Automorphism Architecture for Bootstrapping Homomorphic Encryption

Hanho Lee, Hanyoung Lee
article en

Abstract

In Fully Homomorphic Encryption (FHE), Automorphism used to map very long vectors to new positions can exhibit varying patterns depending on the rotation index. However, increasing the polynomial degree introduces significant overhead in terms of both execution time and hardware resources. Furthermore, the data mapping process for each moduli generated by the Residue Number System (RNS) becomes dominant in terms of execution time. Therefore, RNS-based homomorphic encryption hardware architectures need to support processing data mapping in parallel while communicating with on-chip memory, and all rotation indices for bootstrapping. The proposed novel Automorphism architecture makes efficient use of FPGA resources and supports 8 parallel, so that the Batch Data becomes 128, and uses Xilinx's Built-In FIFO for intermediate storage. It also supports all rotation indices calculated by Cyclotomic degree (M=2*N).

Inha University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 80%
Cryptographic Implementations and Security
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