Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping

Multi-Key Fully Homomorphic Encryption (MKFHE) supports homomorphic evaluation on ciphertexts encrypted under different keys, guaranteeing data privacy in the case of multiple mutually untrusted parties. In ASIACRYPT 2019, Chen et al. designed an LWE-based MKFHE scheme, which evaluates a boolean gat...

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Main Authors: Xu, Kexin, Tan, Benjamin Hong Meng, Wang, Li-Ping, Aung, Khin Mi Mi, Wang, Huaxiong
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/172449
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1724492023-12-11T02:32:34Z Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping Xu, Kexin Tan, Benjamin Hong Meng Wang, Li-Ping Aung, Khin Mi Mi Wang, Huaxiong School of Physical and Mathematical Sciences Science::Mathematics NTRU Problem Bootstrapping Multi-Key Fully Homomorphic Encryption (MKFHE) supports homomorphic evaluation on ciphertexts encrypted under different keys, guaranteeing data privacy in the case of multiple mutually untrusted parties. In ASIACRYPT 2019, Chen et al. designed an LWE-based MKFHE scheme, which evaluates a boolean gate on ciphertexts followed by a bootstrapping procedure in the dynamic multi-key setting. In this paper, we propose a new MKFHE scheme from NTRU and (R)LWE, achieving better bootstrapping performance. To that end, we adapt Chen et al.'s bootstrapping algorithm to the NTRU setting and construct an efficient conversion from multi-key NTRU to multi-key RLWE ciphertexts. With appropriate parameter choice, our scheme avoids the sublattice attacks that broke previous NTRU-based MKFHE schemes. Finally, we implement a proof-of-concept of our construction and conduct experiments to test its performance. Our experiments indicate that gate bootstrapping in our scheme for 2 parties takes 0.18 seconds, which is faster than with Chen et al. by around 5.3 times, but unfortunately does not scale beyond that. It is however practical for uses such as oblivious neural network inference. Ministry of Education (MOE) Khin Mi Mi Aung, Benjamin Hong Meng Tan and Huaxiong Wang are supported by A*STAR, Singapore under research grant SERC A19E3b0099. Huaxiong Wang is also supported by Singapore Ministry of Education under Research Grant MOE2019-T2-2-083. 2023-12-11T02:32:34Z 2023-12-11T02:32:34Z 2023 Journal Article Xu, K., Tan, B. H. M., Wang, L., Aung, K. M. M. & Wang, H. (2023). Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping. Theoretical Computer Science, 968, 114026-. https://dx.doi.org/10.1016/j.tcs.2023.114026 0304-3975 https://hdl.handle.net/10356/172449 10.1016/j.tcs.2023.114026 2-s2.0-85161670456 968 114026 en MOE2019-T2-2-083 Theoretical Computer Science © 2023 Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics
NTRU Problem
Bootstrapping
spellingShingle Science::Mathematics
NTRU Problem
Bootstrapping
Xu, Kexin
Tan, Benjamin Hong Meng
Wang, Li-Ping
Aung, Khin Mi Mi
Wang, Huaxiong
Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
description Multi-Key Fully Homomorphic Encryption (MKFHE) supports homomorphic evaluation on ciphertexts encrypted under different keys, guaranteeing data privacy in the case of multiple mutually untrusted parties. In ASIACRYPT 2019, Chen et al. designed an LWE-based MKFHE scheme, which evaluates a boolean gate on ciphertexts followed by a bootstrapping procedure in the dynamic multi-key setting. In this paper, we propose a new MKFHE scheme from NTRU and (R)LWE, achieving better bootstrapping performance. To that end, we adapt Chen et al.'s bootstrapping algorithm to the NTRU setting and construct an efficient conversion from multi-key NTRU to multi-key RLWE ciphertexts. With appropriate parameter choice, our scheme avoids the sublattice attacks that broke previous NTRU-based MKFHE schemes. Finally, we implement a proof-of-concept of our construction and conduct experiments to test its performance. Our experiments indicate that gate bootstrapping in our scheme for 2 parties takes 0.18 seconds, which is faster than with Chen et al. by around 5.3 times, but unfortunately does not scale beyond that. It is however practical for uses such as oblivious neural network inference.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Xu, Kexin
Tan, Benjamin Hong Meng
Wang, Li-Ping
Aung, Khin Mi Mi
Wang, Huaxiong
format Article
author Xu, Kexin
Tan, Benjamin Hong Meng
Wang, Li-Ping
Aung, Khin Mi Mi
Wang, Huaxiong
author_sort Xu, Kexin
title Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
title_short Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
title_full Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
title_fullStr Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
title_full_unstemmed Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
title_sort multi-key fully homomorphic encryption from ntru and (r)lwe with faster bootstrapping
publishDate 2023
url https://hdl.handle.net/10356/172449
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