Implementing an information-theoretically secure Byzantine agreement with quantum signed message solution
- URL: http://arxiv.org/abs/2502.05515v1
- Date: Sat, 08 Feb 2025 10:30:37 GMT
- Title: Implementing an information-theoretically secure Byzantine agreement with quantum signed message solution
- Authors: Yao Zhou, Feng - Yu Lu, Zhen - Qiang Yin, Shuang Wang, Wei Chen, Guang - Can Guo, Zheng - Fu Han,
- Abstract summary: Byzantine agreement (BA) enables all honest nodes in a decentralized network to reach consensus.
We propose a quantum signed Byzantine agreement (QSBA) protocol based on the quantum signed message (QSM) scheme.
Our protocol achieves information-theoretic security using only QKD-shared key resources between network nodes.
- Score: 9.643164830645038
- License:
- Abstract: Byzantine agreement (BA) enables all honest nodes in a decentralized network to reach consensus. In the era of emerging quantum technologies, classical cryptography-based BA protocols face inherent security vulnerabilities. By leveraging the information-theoretic security of keys generated by quantum processing, such as quantum key distribution (QKD), and utilizing the one-time pad (OTP) and one-time universal hashing (OTUH) classical methods proposed in \cite{yin2023QDS}, we propose a quantum signed Byzantine agreement (QSBA) protocol based on the quantum signed message (QSM) scheme. This protocol achieves information-theoretic security using only QKD-shared key resources between network nodes, without requiring quantum entanglement or other advanced quantum resources. Compared to the recently proposed quantum Byzantine agreement (QBA) \cite{weng2023beatingQBA}, our QSBA achieves superior fault tolerance, extending the threshold from nearly 1/2 to an arbitrary number of malicious nodes. Furthermore, our QSBA significantly reduces communication complexity under the same number of malicious nodes. Simulation results in a 5-node twin-field QKD network highlight the efficiency of our protocol, showcasing its potential for secure and resource-efficient consensus in quantum networks.
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