迈向量子安全区块链:嵌入式系统上PQC和公钥恢复的探索

IET Blockchain Pub Date : 2025-01-17 DOI:10.1049/blc2.12094
Dominik Marchsreiter
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引用次数: 0

摘要

区块链技术确保了可问责性、透明性和冗余性,但它对公钥加密的依赖使其容易受到量子计算威胁。本文通过将后量子加密(PQC)集成到区块链框架中,解决了对量子安全区块链解决方案的迫切需求。它利用NIST PQC标准化过程中的算法,旨在加强区块链的安全性和弹性,特别是针对物联网和嵌入式系统。尽管PQC很重要,但它在为嵌入式环境量身定制的区块链系统中的实现仍然没有得到充分的探索。提出了一种量子安全区块链架构,通过评估各种PQC原语并通过Falcon的公钥恢复等技术优化事务大小,实现了事务大小减少17%。分析认为,Falcon-512是基于计算机环境的量子安全区块链最合适的算法,而XMSS是一种可行但不理想的有状态替代方案。然而,对于基于嵌入式的区块链,与Falcon相比,Dilithium表现出更高的每秒事务(TPS)率,这主要是由于Falcon在ARM cpu上的签名性能较慢。这凸显了签名时间是嵌入式区块链中的一个关键限制因素。此外,集成了智能合约功能,评估了PQC对智能合约认证的影响。研究结果证明了可行性和实用性,为强大且面向未来的物联网应用铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards quantum-safe blockchain: Exploration of PQC and public-key recovery on embedded systems

Towards quantum-safe blockchain: Exploration of PQC and public-key recovery on embedded systems

Blockchain technology ensures accountability, transparency, and redundancy, but its reliance on public-key cryptography makes it vulnerable to quantum computing threats. This article addresses the urgent need for quantum-safe blockchain solutions by integrating post-quantum cryptography (PQC) into blockchain frameworks. Utilizing algorithms from the NIST PQC standardization process, it is aimed to fortify blockchain security and resilience, particularly for IoT and embedded systems. Despite the importance of PQC, its implementation in blockchain systems tailored for embedded environments remains underexplored. A quantum-secure blockchain architecture is proposed, evaluating various PQC primitives and optimizing transaction sizes through techniques such as public-key recovery for Falcon, achieving up to 17% reduction in transaction size. The analysis identifies Falcon-512 as the most suitable algorithm for quantum-secure blockchains in computer-based environments and XMSS as a viable but unsatisfactory stateful alternative. However, for embedded-based blockchains, Dilithium demonstrates a higher transactions-per-second (TPS) rate compared to Falcon, primarily due to Falcon's slower signing performance on ARM CPUs. This highlights the signing time as a critical limiting factor within embedded blockchains. Additionally, smart contract functionality is integrated, assessing the impact of PQC on smart contract authentication. The findings demonstrate the feasibility and practicality, paving the way for robust and future-proof IoT applications.

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