TY - JOUR
T1 - Blockchain-Assisted Weighted Threshold EdDSA with Rational Identifiable Aborts
AU - Wu, Xiaofei
AU - Zhou, Jun
AU - Cao, Zhenfu
AU - Dong, Xiaolei
AU - Ning, Jianting
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - The security of distributed systems, especially blockchain-based applications, relies heavily on threshold signature protocols to maintain decentralization. Identifiable aborts are critical in these protocols, enabling detection and attribution of malicious behavior. However, existing threshold EdDSA schemes with identifiable aborts often rely on zeroknowledge proofs, which significantly increase computational overhead. Additionally, these schemes suffer from inefficient abort handling and difficulty defending against DDoS attacks targeting abort mechanisms. Furthermore, weighted threshold signature schemes frequently encounter weight centralization, where high-weight participants dominate decision-making. In this paper, we propose a threshold EdDSA protocol, named EdFROST, which is unforgeable and supports identifiable aborts under a chosen-message attack (IA-CMA), based on FROST3 proposed by Ruffing et al. (ACM CCS '22). Leveraging EdFROST, we present the first weighted threshold EdDSA scheme that considers both the number of participants and arbitrary weight distribution to mitigate the risk of weight centralization. We also design a game-theoretic incentive model, implemented via tamper-proof chaincode, achieving rational identifiable aborts with a unique sequential equilibrium. This model incentivizes honest behavior to maximize individual benefits while ensuring efficient abort handling and resisting DDoS attacks targeting IA. Experimental results demonstrate that the EdFROST and chaincode are efficient and lightweight, making them well-suited for large-scale distributed systems.
AB - The security of distributed systems, especially blockchain-based applications, relies heavily on threshold signature protocols to maintain decentralization. Identifiable aborts are critical in these protocols, enabling detection and attribution of malicious behavior. However, existing threshold EdDSA schemes with identifiable aborts often rely on zeroknowledge proofs, which significantly increase computational overhead. Additionally, these schemes suffer from inefficient abort handling and difficulty defending against DDoS attacks targeting abort mechanisms. Furthermore, weighted threshold signature schemes frequently encounter weight centralization, where high-weight participants dominate decision-making. In this paper, we propose a threshold EdDSA protocol, named EdFROST, which is unforgeable and supports identifiable aborts under a chosen-message attack (IA-CMA), based on FROST3 proposed by Ruffing et al. (ACM CCS '22). Leveraging EdFROST, we present the first weighted threshold EdDSA scheme that considers both the number of participants and arbitrary weight distribution to mitigate the risk of weight centralization. We also design a game-theoretic incentive model, implemented via tamper-proof chaincode, achieving rational identifiable aborts with a unique sequential equilibrium. This model incentivizes honest behavior to maximize individual benefits while ensuring efficient abort handling and resisting DDoS attacks targeting IA. Experimental results demonstrate that the EdFROST and chaincode are efficient and lightweight, making them well-suited for large-scale distributed systems.
KW - Blockchain
KW - EdDSA
KW - Game Theory
KW - Identifiable Aborts
KW - Threshold Signature
KW - Weighted cryptography
UR - https://www.scopus.com/pages/publications/105018014030
U2 - 10.1109/TDSC.2025.3615713
DO - 10.1109/TDSC.2025.3615713
M3 - 文章
AN - SCOPUS:105018014030
SN - 1545-5971
JO - IEEE Transactions on Dependable and Secure Computing
JF - IEEE Transactions on Dependable and Secure Computing
ER -