English

QDBFT: A Dynamic Consensus Algorithm for Quantum-Secured Blockchain

Cryptography and Security 2026-02-13 v1

Abstract

The security foundation of blockchain system relies primarily on classical cryptographic methods and consensus algorithms. However, the advent of quantum computing poses a significant threat to conventional public-key cryptosystems based on computational hardness assumptions. In particular, Shor's algorithm can efficiently solve discrete logarithm and integer factorization problems in polynomial time, thereby undermining the immutability and security guarantees of existing systems. Moreover, current Practical Byzantine Fault Tolerance (PBFT) protocols, widely adopted in consortium blockchains, suffer from high communication overhead and limited efficiency when coping with dynamic node reconfigurations, while offering no intrinsic protection against quantum adversaries. To address these challenges, we propose QDBFT, a quantum-secured dynamic consensus algorithm, with two main contributions: first,we design a primary node automatic rotation mechanism based on a consistent hash ring to enable consensus under dynamic membership changes, ensuring equitable authority distribution; second, we integrate Quantum Key Distribution (QKD) networks to provide message authentication for inter-node communication, thereby achieving information-theoretic security in the consensus process. Experimental evaluations demonstrate that QDBFT achieves performance comparable to traditional PBFT while delivering strong resilience against quantum attacks, making it a promising solution for future quantum-secure decentralized infrastructures.

Keywords

Cite

@article{arxiv.2602.11606,
  title  = {QDBFT: A Dynamic Consensus Algorithm for Quantum-Secured Blockchain},
  author = {Fei Xu and Cheng Ye and Jie OuYang and Ziqiang Wu and Haoze Chen and An Hua and Meifeng Gao and Qiandong Zhang and Minghan Li and Feilong Li and Yajun Miao and Wei Qi},
  journal= {arXiv preprint arXiv:2602.11606},
  year   = {2026}
}

Comments

24 pages, 11 figures

R2 v1 2026-07-01T10:33:05.217Z