包含异常地址和行为的跨链交易数据

包含异常地址和行为的跨链交易数据集主要面向跨链安全分析、监管策略仿真及风险评估等研究需求建设，旨在解决跨链安全研究中缺乏真实攻击样本的公开数据问题。本数据集基于AllBridge、Connext、Orbit、Wormhole、Multichain等主流跨链桥的官方接口以及多条公链区块链浏览器，采集并清洗跨链完成记录及对应链上交易信息，首先构建跨链交易基础表，在此基础上以跨链参与地址为分析对象进行行为聚合。数据集主要记录了跨链参与地址的细粒度行为模式与安全状态，采用CSV格式，包含719863个参与跨链交易的地址样本，每个样本给出了入度、出度、资金收发规模与分布、交易时间间隔、跨链活跃链数量等20个结构与时序特征，以及一个二元异常标签字段Flag，其中2322个地址被标记为异常（Flag=1）。该数据集可为跨链异常地址检测、跨链桥风险评估及监管策略仿真等研究和应用提供真实可复现的基础数据支撑，数据量约为110MB。

This cross-chain transaction dataset containing anomalous addresses and behaviors was developed to meet research requirements including cross-chain security analysis, regulatory strategy simulation and risk assessment, aiming to solve the shortage of publicly available datasets with real attack samples in cross-chain security research.

This dataset is built based on the official APIs of mainstream cross-chain bridges including AllBridge, Connext, Orbit, Wormhole, Multichain and block explorers of multiple public blockchains. Completed cross-chain transaction records and corresponding on-chain transaction information were collected and cleaned, a basic cross-chain transaction table was firstly established, and subsequently behavior aggregation was conducted using cross-chain participating addresses as the analysis objects.

The dataset mainly records the fine-grained behavioral patterns and security status of cross-chain participating addresses, and is stored in CSV format. It contains 719,863 address samples participating in cross-chain transactions, each of which includes 20 structural and temporal features such as in-degree, out-degree, scale and distribution of fund inflows and outflows, transaction time intervals, number of active cross-chain chains, as well as a binary anomaly label field "Flag". Among them, 2,322 addresses are labeled as anomalous (Flag=1).

This dataset can provide realistic and reproducible basic data support for research and applications such as cross-chain anomalous address detection, cross-chain bridge risk assessment and regulatory strategy simulation, with a total data size of approximately 110 MB.

搜集汇总

背景与挑战

背景概述

该数据集是针对跨链安全分析、监管仿真等研究需求构建的，包含从主流跨链桥和公链采集的719863个地址样本，每个样本具有20个行为特征和异常标签（其中2322个标记为异常），数据格式为CSV，总量约110MB，旨在解决跨链安全研究中真实攻击样本数据缺乏的问题。