Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping

Multi-key fully homomorphic encryption (MK-FHE) technology supports homomorphic operations on ciphertexts encrypted with different keys, and can be directly applied to real-world multi-user data fusion computing scenarios, such as multi-party collaborative computing and federated learning. At presen...

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Main Authors: ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2024-12-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024085
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author ZHENG Junhua
JIANG Hongwei
LIU Rong
LI Yixiu
LI Wen
WENG Jian
author_facet ZHENG Junhua
JIANG Hongwei
LIU Rong
LI Yixiu
LI Wen
WENG Jian
author_sort ZHENG Junhua
collection DOAJ
description Multi-key fully homomorphic encryption (MK-FHE) technology supports homomorphic operations on ciphertexts encrypted with different keys, and can be directly applied to real-world multi-user data fusion computing scenarios, such as multi-party collaborative computing and federated learning. At present, mainstream multi-key fully homomorphic encryption mainly uses bootstrapping technology to achieve multi-key homomorphic computing of LWE (learning with errors) encrypted ciphertexts. The time efficiency and storage overhead of expanding single-key ciphertexts to multi-key ciphertexts are closely related to the bootstrapping technology, which usually requires a large number of homomorphic evaluation keys and complex operations. Therefore, designing a multi-key fully homomorphic encryption scheme in combination with a better bootstrapping technology to improve computational efficiency and reduce storage overhead had become a key research issue. Based on the NTRU (number theory research unit) bootstrapping technology, an efficient multi-key fully homomorphic encryption scheme for LWE ciphertexts was designed. Compared with other schemes, the proposed scheme exhibited higher computational efficiency in the ciphertext expansion process. In addition, the correctness of the proposed scheme was elaborated and analyzed in detail. The proposed scheme was compared with the existing mainstream multi-key fully homomorphic encryption scheme in theory. The results show that the proposed scheme has better computational efficiency. Finally, the potential application of the scheme in cross-departmental supervision scenarios of multi-industry and multi-source data sales data was explored, which helped the tax department to realize tax verification under the premise of protecting data privacy, and helped promote the digital transformation and healthy development of various industries.
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institution Kabale University
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publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-2c9f8095488642fc848594e2ab4f1f4f2025-02-08T19:00:11ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2024-12-011012313680361839Multi-key fully homomorphic encryption scheme based on NTRU bootstrappingZHENG JunhuaJIANG HongweiLIU RongLI YixiuLI WenWENG JianMulti-key fully homomorphic encryption (MK-FHE) technology supports homomorphic operations on ciphertexts encrypted with different keys, and can be directly applied to real-world multi-user data fusion computing scenarios, such as multi-party collaborative computing and federated learning. At present, mainstream multi-key fully homomorphic encryption mainly uses bootstrapping technology to achieve multi-key homomorphic computing of LWE (learning with errors) encrypted ciphertexts. The time efficiency and storage overhead of expanding single-key ciphertexts to multi-key ciphertexts are closely related to the bootstrapping technology, which usually requires a large number of homomorphic evaluation keys and complex operations. Therefore, designing a multi-key fully homomorphic encryption scheme in combination with a better bootstrapping technology to improve computational efficiency and reduce storage overhead had become a key research issue. Based on the NTRU (number theory research unit) bootstrapping technology, an efficient multi-key fully homomorphic encryption scheme for LWE ciphertexts was designed. Compared with other schemes, the proposed scheme exhibited higher computational efficiency in the ciphertext expansion process. In addition, the correctness of the proposed scheme was elaborated and analyzed in detail. The proposed scheme was compared with the existing mainstream multi-key fully homomorphic encryption scheme in theory. The results show that the proposed scheme has better computational efficiency. Finally, the potential application of the scheme in cross-departmental supervision scenarios of multi-industry and multi-source data sales data was explored, which helped the tax department to realize tax verification under the premise of protecting data privacy, and helped promote the digital transformation and healthy development of various industries.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024085multi-key fully homomorphic encryption (MK-FHE)collaborative computationbootstrapping techniqueencryption technology
spellingShingle ZHENG Junhua
JIANG Hongwei
LIU Rong
LI Yixiu
LI Wen
WENG Jian
Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping
网络与信息安全学报
multi-key fully homomorphic encryption (MK-FHE)
collaborative computation
bootstrapping technique
encryption technology
title Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping
title_full Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping
title_fullStr Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping
title_full_unstemmed Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping
title_short Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping
title_sort multi key fully homomorphic encryption scheme based on ntru bootstrapping
topic multi-key fully homomorphic encryption (MK-FHE)
collaborative computation
bootstrapping technique
encryption technology
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024085
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AT liurong multikeyfullyhomomorphicencryptionschemebasedonntrubootstrapping
AT liyixiu multikeyfullyhomomorphicencryptionschemebasedonntrubootstrapping
AT liwen multikeyfullyhomomorphicencryptionschemebasedonntrubootstrapping
AT wengjian multikeyfullyhomomorphicencryptionschemebasedonntrubootstrapping