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Dynamic multi-key FHE in asymmetric key setting from LWE

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journal contribution
posted on 2021-11-19, 14:43 authored by Y Chen, S Dong, T Li, Y Wang, Huiyu Zhou
Multi-key Fully homomorphic encryption (MFHE)schemes allow computation on the encrypted data under different keys. However, traditional multi-key FHE schemes based on Learning with errors (LWE) have the undesirable property that is the number of keys has to be fixed in advance. A dynamic multi-key FHE scheme is the most versatile variant which the information about the participants is not required before key generation. To support further homomorphic computation on extended ciphertexts and ciphertexts encrypted under additional keys, Peikert and Shiehian (TCC ’16) proposed a leveled dynamic multi-key FHE scheme. Nevertheless, it introduces the circular-security assumption for the LWE parameters to ensure its security, which provides weaker security to the scheme. The problem of how to construct a LWE-based dynamic multi-key FHE scheme is still open. To address the above problem, in this work, we present a dynamic multi-key FHE scheme based on the LWE assumption in public key setting. The ciphertext can be extended and performed homomorphic evaluation with the ciphertexts encrypted under additional keys. Compared with current constructions, our proposed method requires fewer “local” memory and the process of ciphertext extension is distributed. Our proposed method provides a new way to extend the ciphertext such that the ciphertext homomorphism computation is more efficient. Our scheme is proven to be secure under standard LWE assumptions without using the circular-security assumption.

History

Citation

IEEE Transactions on Information Forensics and Security, 2021, https://doi.org/10.1109/TIFS.2021.3127023

Author affiliation

School of Informatics

Version

  • AM (Accepted Manuscript)

Published in

IEEE Transactions on Information Forensics and Security

Publisher

Institute of Electrical and Electronics Engineers

issn

1556-6013

Acceptance date

2021-10-28

Copyright date

2021

Available date

2021-11-19

Language

en

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