Optimizing signature space performance in privacy-enhanced blockchains: novel ring signature solutions
Year: 2025
Type: article
Abstract: In blockchain applications, ring signatures offer significant advantages, particularly in decentralized settings, safeguarding user privacy and data security. This paper presents two innovative ring signature schemes to address the space performance challenges arising from the widespread use of ring signatures in blockchain transactions. Firstly, we introduce an aggregated ring signature scheme that effectively improves the signature space from $$\mathcal {O}(m\log n)$$ to $$\mathcal {O}(\log mn)$$ and provides corresponding security proofs. Secondly, we propose a compact multi-message ring signature scheme based on the combination lock principle, enhancing signature space efficiency to $$\mathcal {O}(m+n)$$ and optimally up to $$\mathcal {O}(m+\log n)$$ . These schemes exhibit outstanding performance in privacy-centric blockchain transactions, as demonstrated through performance analysis in practical scenarios. Additionally, we introduce aggregated linkable tags, which maintain double-spending detection in blockchain transactions. These innovative solutions are poised to effectively tackle the space efficiency challenges associated with ring signatures in blockchain transactions, thereby providing robust support for privacy preservation and data security.
Authors: Da Teng, Yanqing Yao, Chao Huang
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,040
Award: 基于深度学习和上下文语义的云数据隐私保护方法研究
OpenAlex ID: W4407856943
