[Resource Topic] 2025/476: A note on "industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training"

Welcome to the resource topic for 2025/476

Title:
A note on “industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training”

Authors: 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 (sig, s, r_x) of message m into a valid signature (sig, s, r_x') of any message m'.

ePrint: https://eprint.iacr.org/2025/476

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