Paper 2025/476 Original: eprint.iacr.org/2025/476 ↗
A note on "industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training"
Abstract
We show that the threshold signature scheme [J. Ind. Inf. Integr. 39: 100593 (2024)] is insecure against forgery attack. An adversary can find an efficient signing algorithm functionally equivalent to the valid signing algorithm, so as to convert the legitimate signature $(sig, s, r_x)$ of message $m$ into a valid signature $(sig, s, r_x')$ of any message $m'$.
Metadata
- Available format(s)
PDF- Category
- Attacks and cryptanalysis
- Publication info
- Preprint.
- History
- 2025-03-13: last updated
- 2025-03-13: published
- Short URL
- https://ia.cr/2025/476
- License
- https://creativecommons.org/publicdomain/zero/1.0/
BibTeX
@misc{cryptoeprint:2025/476,
author = {Zhengjun Cao and Lihua Liu},
title = {A note on "industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training"},
howpublished = {Cryptology {ePrint} Archive, Paper 2025/476},
year = {2025},
url = {https://eprint.iacr.org/2025/476}
}