网络与信息安全学报2025，Vol.11Issue(1)：66-78,13.DOI:10.11959/j.issn.2096-109x.2025007
基于可追责断言的支付通道网络性能优化研究
Performance optimization research of payment channel network based on accountable assertions
摘要
Abstract
Restricted by block size and the block generation rate,cryptocurrencies like Bitcoin were unable to sig-nificantly improve their scalability through on-chain approaches.Payment channel networks(PCN)were recog-nized as one of the most important methods to achieve scalability through off-chain modes.However,traditional PCN utilizing a lockable structure were found to have two major drawbacks.First,in the presence of malicious par-ties,this structure could only terminate the transaction process but could not identify or punish the malicious actors.Second,when a specific transaction needed to be reviewed,all transactions within the PCN had to be recovered,re-sulting in significant computational overhead.To address these issues,a scheme called accountable assertions per-formance optimization-payment channel network(AAPO-PCN)was proposed.In this scheme,an accountable as-sertion algorithm was introduced to construct an editable Merkle tree.Unlike the standard Merkle tree,the chame-leon hash function was used to replace the original hash function,and accountable assertions were integrated to identify malicious users.This approach ensured that only the related transactions needed to be recovered,thereby improving efficiency.Finally,a comprehensive security analysis and experimental evaluation were conducted,dem-onstrating that AAPO-PCN achieved superior computational efficiency and reduced communication overhead with-out compromising security.关键词
支付通道网络/可追责断言/Merkle树/变色龙哈希函数Key words
payment channel network/accountable assertion/merkle tree/chameleon hash function分类
计算机与自动化引用本文复制引用
李雯琪,应作斌,臧嘉威,熊金波,刘西蒙..基于可追责断言的支付通道网络性能优化研究[J].网络与信息安全学报,2025,11(1):66-78,13.基金项目
国家自然科学基金(NSFC)-澳门科学技术发展基金(FDCT)联合科研项目(0051/2022/AFJ) NSFC-FDCT under its Joint Scientific Research Project(0051/2022/AFJ) （NSFC）
