CryptoDB
CSI-Otter: Isogeny-based (Partially) Blind Signatures from the Class Group Action with a Twist
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| Conference: | CRYPTO 2023 |
| Abstract: | In this paper, we construct the first provably-secure isogeny-based (partially) blind signature scheme. While at a high level the scheme resembles the Schnorr blind signature, our work does not directly follow from that construction, since isogenies do not offer as rich an algebraic structure. Specifically, our protocol does not fit into the linear identification protocol abstraction introduced by Hauck, Kiltz, and Loss (EUROCYRPT’19), which was used to generically construct Schnorr-like blind signatures based on modules such as classical groups and lattices. Consequently, our scheme does not seem susceptible to the recent efficient ROS attack exploiting the linear nature of the underlying mathematical tool. In more detail, our blind signature exploits the quadratic twist of an elliptic curve in an essential way to endow isogenies with a strictly richer structure than abstract group actions (but still more restrictive than modules). The basic scheme has public key size 128 B and signature size 8 KB under the CSIDH-512 parameter sets—these are the smallest among all provably secure post-quantum secure blind signatures. Relying on a new ring variant of the group action inverse problem (rGAIP), we can halve the signature size to 4 KB while increasing the public key size to 512 B. We provide preliminary cryptanalysis of rGAIP and show that for certain parameter settings, it is essentially as secure as the standard GAIP. Finally, we show a novel way to turn our blind signature into a partially blind signature, where we deviate from prior methods since they require hashing into the set of public keys while hiding the corresponding secret key—constructing such a hash function in the isogeny setting remains an open problem. |
BibTeX
@inproceedings{crypto-2023-33241,
title={CSI-Otter: Isogeny-based (Partially) Blind Signatures from the Class Group Action with a Twist},
publisher={Springer-Verlag},
doi={10.1007/978-3-031-38548-3_24},
author={Shuichi Katsumata and Yi-Fu Lai and Jason T. LeGrow and Ling Qin},
year=2023
}