控制理论与应用2024，Vol.41Issue(8)：1361-1368,8.DOI:10.7641/CTA.2023.21035
基于模型堆叠的以太坊钓鱼诈骗账户识别方法
Ethereum phishing scam account identification based on model stacking
摘要
Abstract
In recent years,phishing scams have become a type of fraud that cannot be ignored in blockchain platforms,posing a major threat to users'financial security.To solve this problem,this paper proposes a framework for phishing account detection based on blockchain transactions,and verifies its effectiveness by taking ethereum as an example.Specif-ically,the framework alleviates data imbalances and reduces computational effort by introducing sample filtering rules,adopts a cascading feature extraction method to extract valid features,and builds an ensemble classification algorithm based on model stacking to identify phishing accounts.The experimental results show that the framework can effectively identify phishing fraud accounts on ethereum and has certain practical application value.关键词
区块链/以太坊/钓鱼诈骗/模型堆叠Key words
blockchain/ethereum/phishing scam/model stacking引用本文复制引用
陈伟利,叶明顺,唐明董,郑子彬..基于模型堆叠的以太坊钓鱼诈骗账户识别方法[J].控制理论与应用,2024,41(8):1361-1368,8.基金项目
国家重点研发计划项目(2020YFB1006002),国家自然科学基金面上项目(61976061),广东省基础与应用基础研究基金项目(2021A1515011939)资助.Supported by the National Key Research and Development Program of China(2020YFB1006002),the National Natural Science Foundation of China(61976061)and the Basic and Applied Basic Research Foundation of Guangdong Province(2021A1515011939). （2020YFB1006002）
