基于DeFi消息传递机制的跨链交易关联方法
Cross-chain Transaction Association Method Based on DeFi Message-passing Mechanism
林丹 1郑梓烨 2付齐双 2吴嘉婧 1郑子彬1
作者信息
- 1. 中山大学软件工程学院,广东珠海 519082
- 2. 中山大学计算机学院,广东广州 510006
- 折叠
摘要
跨链桥作为一种新型区块链基本服务,实现了区块链间的资产和数据流通,极大地促进了区块链去中心化金融(DeFi)的建设.然而在实际应用过程中,由于跨链桥的交易不透明与资产难追踪问题,许多犯罪分子开始将跨链技术作为一种洗钱手段,在链间进行非法资产的转移.因此,跨链交易追踪问题正逐渐成为学术界与相关监管部门关注的焦点.现有方法主要通过规则匹配的启发式算法来实现跨链交易的关联,这种方法虽能有效匹配特定区块链间的交易,但仅面向中心化金融(CeFi)跨链桥服务,且高度依赖于中心化的内部应用程序编程接口(API),难以广泛支持多种跨链桥的交易关联.为解决以上问题,提出一种面向DeFi跨链桥服务的交易关联方法.根据跨链桥消息传递机制获取源链的存款事件日志,并基于专家规则提取关键跨链信息,利用数据爬取技术构造目标链交易搜索空间.在此基础上,通过多种业务规则实现跨链交易的关联.实验结果表明,该方法在Celer cBridge、Multichain和Poly Network这3座跨链桥的真实交易数据集(以太坊为源链,币安智能链为目标链)上准确率分别达到93.6％、95.3％和91.6％,具有较好的关联效果.
Abstract
As a new type of foundational blockchain service,cross-chain bridges realize the circulation of assets and data between blockchains,significantly advancing the development of Decentralized Finance(DeFi).However,in practical applications,the opacity of cross-chain bridge transactions and the difficulty in tracking assets have led many criminals to exploit cross-chain technology for money laundering,transferring illegal assets between chains.As a result,cross-chain transaction tracking has become a focal point for academic circles and regulatory authorities.Existing methods primarily use heuristic algorithms for rule matching to associate cross-chain transactions.While effective for matching transactions between specific blockchains,these methods are primarily designed for Centralized Finance(CeFi)cross-chain bridge services and rely heavily on centralized internal Application Programming Interfaces(API),limiting their ability to broadly support multiple cross-chain bridges for transaction association.To address these limitations,this study proposes a transaction association method tailored for DeFi cross-chain bridges services.The method obtains the deposit event log from the source chain based on the cross-chain bridge messaging mechanism and extracts key cross-chain information using expert rules.A target chain transaction search space was then constructed using data crawling technology.Cross-chain transactions were associated through the application of multiple business rules.The method was validated on real transaction datasets[with Ethereum as the source chain and Binance Smart Chain(BSC)as the target chain]from three cross-chain bridges:Celer cBridge,Multichain,and Poly Network.The accuracy rates were 93.6％,95.3％,and 91.6％,respectively,demonstrating high association accuracy.
关键词
跨链交易关联/去中心化金融跨链桥服务/启发式算法/消息传递机制/交易追踪Key words
cross-chain transaction association/Decentralized Finance(DeFi)cross-chain bridge service/heuristic algorithm/message-passing mechanism/transaction tracking引用本文复制引用
基金项目
国家自然科学基金(62372485)
国家自然科学基金(61973325)
广东省自然科学基金(2023A1515011314)
广东省自然科学基金(2021A1515011661)
广州市基础与应用基础研究项目(202102020616)
出版年
2024
国家科技期刊平台
NSTL
万方数据