A Survey on Software-hardware Acceleration for Fully Homomorphic Encryption

BIAN Song; MAO Ran; ZHU Yongqing; FU Yunhao; ZHANG Zhou; DING Lin; ZHANG Jiliang; ZHANG Bo; CHEN Yi; DONG Jin; GUAN Zhenyu

doi:10.11999/JEIT230448

Volume 46 Issue 5

May 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(5): 1790-1805

BIAN Song, MAO Ran, ZHU Yongqing, FU Yunhao, ZHANG Zhou, DING Lin, ZHANG Jiliang, ZHANG Bo, CHEN Yi, DONG Jin, GUAN Zhenyu. A Survey on Software-hardware Acceleration for Fully Homomorphic Encryption[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1790-1805. doi: 10.11999/JEIT230448

Citation:

BIAN Song, MAO Ran, ZHU Yongqing, FU Yunhao, ZHANG Zhou, DING Lin, ZHANG Jiliang, ZHANG Bo, CHEN Yi, DONG Jin, GUAN Zhenyu. A Survey on Software-hardware Acceleration for Fully Homomorphic Encryption[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1790-1805. doi: 10.11999/JEIT230448

Citation:

BIAN Song, MAO Ran, ZHU Yongqing, FU Yunhao, ZHANG Zhou, DING Lin, ZHANG Jiliang, ZHANG Bo, CHEN Yi, DONG Jin, GUAN Zhenyu. A Survey on Software-hardware Acceleration for Fully Homomorphic Encryption[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1790-1805. doi: 10.11999/JEIT230448

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A Survey on Software-hardware Acceleration for Fully Homomorphic Encryption

doi: 10.11999/JEIT230448

1.
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
2.
College of Semiconductors (College of Integrated Circuits), Hunan University, Changsha 410000, China
3.
The Beijing Academy of Blockchain and Edge Computing, Beijing 100080, China

Funds: The National Key R&D Program of China (2023YFB3106200), The National Natural Science Foundation of China (62002006, 62172025, U21B2021, 61932011, 61932014, 61972018, 61972019, 62202028, U2241213), The Defense Industrial Technology Development Program (JCKY2021211B017)

Received Date: 2023-05-18
Rev Recd Date: 2023-12-13

Available Online: 2023-12-22

Publish Date: 2024-05-30

Abstract

Abstract

Fully Homomorphic Encryption (FHE) is a multi-party secure computation protocol characterized by its high computational complexity and low interaction requirements. Although there is no need for multiple rounds of interactions and extensive communications between computing participants in protocols based on FHE, the processing time of encrypted data is typically $ {10}^{3} $ to $ {10}^{6} $ times of that of plaintext computing, and thus significantly hinders the practical deployment of such protocols. In particular, the large-scale darallel cryptographic operations and the cost of data movement for the ciphertext and key data needed in the operations become the dominating performance bottlenecks. The topic of accelerating FHE in both the software and the hardware layers is discussed in this paper. By systematically categorizing and organizing existing literatures, a survey on the current status and outlook of the research on FHE is presented.
- Fully Homomorphic Encryption(FHE),
- Homomorphic algorithm,
- Cryptographic hardware acceleration

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References(80)

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