研究成果

Fully homomorphic encryption (FHE) is a cryptographic scheme that can take ciphertexts as inputs and compute a new ciphertext of a function of the underlying messages without decryption. FHE has been attracting attention along with the growing interest in privacy-preserving technologies. In terms of privacy-preserving technology, deniable encryption is also important. Deniable encryption enables a user, who may be forced to reveal the messages corresponding to the user's public ciphertexts, to lie about which messages the user encrypted. Agrawal et al. (CRYPTO 2021) introduced deniable FHE (DFHE) that combines FHE with deniable encryption, and proposed a transformation from an FHE scheme that satisfies specific special requirements, called special FHE, to a DFHE scheme. They also showed a construction of a special FHE scheme based on the BGV (Brakerski–Gentry–Vaikuntanathan) scheme. However, in the construction by Agrawal et al., one must store all the extensive randomness used for encryption in order to lie, and a bootstrapping operation, which takes a long time to execute, is a bottleneck in execution speed. In this paper, we show that by providing a tighter upper bound on deniability, we can reduce the size of the stored randomness and the required number of bootstrapping in the construction by Agrawal et al. In addition, we show that TFHE (Chillotti et al., J. Cryptol., 2020; Joye, CT-RSA 2024), which is known as a FHE scheme with fast bootstrapping, satisfies the requirements of special FHE, and thus can realize a faster DFHE scheme than the BGV-based construction.