A note on "industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training"

Zhengjun Cao; Lihua Liu

Paper 2025/476

A note on "industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training"

Zhengjun Cao

Lihua Liu

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 $(s i g, s, r_{x})$ of message $m$ into a valid signature $(s i g, s, r_{x}^{'})$ of any message $m^{'}$ .

Metadata

Available format(s): PDF
Category: Attacks and cryptanalysis
Publication info: Preprint.
Keywords: Signing algorithm verification algorithm threshold signature forgery attack
Contact author(s): liulh @ shmtu edu cn
History: 2025-03-14: approved; 2025-03-13: received; See all versions
Short URL: https://ia.cr/2025/476
License: CC0

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}
}