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

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。

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.