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README.txt
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1.English Version
2.中文版
============================================
Second-order transaction network of phishing nodes
============================================
By InPlusLab, Sun Yat-sen University
================== References ==================
• Website
http://xblock.pro/ethereum/
• Cite
@misc{xblockEthereum,
author = {Yuan, Zihao and Wu, Jiajing and Zheng, Zibin},
title = {{XBLOCK Blockchain Datasets}: {InPlusLab} Ethereum Second-order Phishing Datasets},
howpublished = {\url{http://xblock.pro/ethereum/}},
month = Mar,
year = 2020
}
================== Change Log =================
• Version 1.0, released on 03/10/2020
=================== Source ====================
From https://etherscan.io crawled the transaction data of the target node from the deadline to 2019/12/31.
================ File Information =================
• Description
The second-order transaction network dataset contains 1660 target phishing nodes and 1700 non-phishing nodes crawled from Etherscan.
The second-order transaction network is divided into two parts. On the one hand, the csv files record the transaction information between the target node and its first-order transaction node. On the other hand, the csv files also record the transactions between each first-order transaction node and its corresponding second-order transaction node. information.
• Contents
- Phishing first-order nodes
Transaction information between a phishing node and its first-order transaction node.
Size: 14.7MB
- Phishing second-order nodes
The transaction information between the first-order transaction node of the phishing node and its second-order transaction node.
Size: 408MB
- Normal first-order nodes
Transaction information between a normal node and its first-order transaction node.
Size: 38.6MB
- Normal second-order nodes
The transaction information between the first-order transaction node of the normal node and its second-order transaction node.
Size: 1.24GB
* Notes *
The first-order node folder directly stores the csv files that records the corresponding first-order transaction information of the node.
The second-order node folder contains a one-to-one correspondence with the target node, and each folder holds the corresponding second-order transaction information csv files.
———————————— Phishing/Normal first-order nodes ————————————
• address.csv
- Row:
Each row represents the transaction information of the target node.
- Column:
1.TxHash : Transaction hash
2.BlockHeight : Height of block
3.TimeStamp : Transaction timestamp
4.From : Address of transaction initiating node
5.To : Address of transaction receiving node
6.Value : Transaction amount
* Notes *
===================Contact====================
Please contact Yuan Zihao ([email protected]) for any questions about the dataset.
============================================
以太坊钓鱼节点二阶交易网络数据集
============================================
By InPlusLab, 中山大学
==================== 参考 =====================
• 相关网站
http://xblock.pro/ethereum/
• 引用
@misc{xblockEthereum,
author = {Yuan, Zihao and Wu, Jiajing and Zheng, Zibin},
title = {{XBLOCK Blockchain Datasets}: {InPlusLab} Ethereum Second-order Phishing Datasets},
howpublished = {\url{http://xblock.pro/ethereum/}},
month = Mar,
year = 2020
}
=================== 变更日志 ====================
• 版本 1.0, 发布于 03/10/2020
=================== 数据来源 ====================
从 https://etherscan.io 爬取了到2019/12/31的目标节点相关交易数据.
=================== 文件信息 ====================
• 描述
该二阶交易网络数据集为从Etherscan上爬取的1660个目标钓鱼节点以及1700个非钓鱼节点的二阶交易网络信息。
该二阶交易网络分为两部分，以csv形式记录了钓鱼节点与其一阶交易节点的之间交易信息，以及各个一阶交易节点与其对应的二阶交易节点之间的交易信息。
• 内容
- 钓鱼一阶节点
钓鱼节点与其一阶交易节点之间的交易信息。
大小: 14.7MB
- 钓鱼二阶节点
钓鱼节点一阶交易节点与其二阶交易节点之间的交易信息。
大小: 408MB
- 非钓鱼一阶节点
非钓鱼节点与其一阶交易节点之间的交易信息。
大小: 38.6MB
- 非钓鱼二阶节点
非钓鱼节点一阶交易节点与其二阶交易节点之间的交易信息。
大小: 1.24GB
* 注释 *
一阶节点文件夹中，直接保存着记录节点相应一阶交易信息的csv文件
二阶节点文件夹中，包含了与目标节点一一对应的文件夹，每个文件夹中保存着相应二阶交易信息的csv文件
———————————— 钓鱼/非钓鱼一阶节点 ————————————
• address.csv
- 行:
每一行代表了目标节点参与的一次交易信息。
- 列:
1.TxHash : 交易哈希值
2.BlockHeight : 交易所在区块高度
3.TimeStamp : 交易时间戳
4.From : 交易发起节点地址
5.To : 交易接收节点地址
6.Value : 交易金额
总和: 6 列
* 注释 *
==================== 联系 =====================
若对数据集有任何问题请联系 袁子豪 ([email protected])。