网络钓鱼
计算机科学
数字加密货币
数据库事务
计算机安全
节点(物理)
自编码
图形
实施
数据挖掘
人工智能
理论计算机科学
深度学习
万维网
互联网
数据库
工程类
结构工程
程序设计语言
作者
Liang Chen,Jiaying Peng,Yang Liu,Jintang Li,Fenfang Xie,Zibin Zheng
出处
期刊:ACM Transactions on Internet Technology
[Association for Computing Machinery]
日期:2020-07-07
卷期号:21 (1): 1-16
被引量:124
摘要
Blockchain has attracted an increasing amount of researches, and there are lots of refreshing implementations in different fields. Cryptocurrency as its representative implementation, suffers the economic loss due to phishing scams. In our work, accounts and transactions are treated as nodes and edges, thus detection of phishing accounts can be modeled as a node classification problem. Correspondingly, we propose a detecting method based on Graph Convolutional Network and autoencoder to precisely distinguish phishing accounts. Experiments on different large-scale real-world datasets from Ethereum show that our proposed model consistently performs promising results compared with related methods.
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