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Investigating the impact of structural and temporal behaviors in Ethereum phishing users detection

作     者:Medhasree Ghosh Dyuti Ghosh Raju Halder Joydeep Chandra Medhasree Ghosh;Dyuti Ghosh;Raju Halder;Joydeep Chandra

作者机构:Indian Institute of TechnologyPatnaBihtaBihar801106India University of CalcuttaKolkataWest Bengal700073India 

出 版 物:《Blockchain(Research and Applications)》 (区块链研究(英文))

年 卷 期:2023年第4卷第4期

页      面:24-38页

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:the project(sanction order no.1/2021-22(GIA))funded by the National Informatics Centre MeitY Government of India 

主  题:Blockchain Cryptocurrency Ethereum Phishing scam Machine learning 

摘      要:The recent surge of Ethereum in prominence has made it an attractive target for various kinds of crypto *** scams,for example,are an increasingly prevalent cybercrime in which malicious users attempt to steal funds from a user’s crypto *** research investigates the effects of network architectural features as well as the temporal aspects of user activities on the performance of detecting phishing users on the Ethereum transaction *** employ traditional machine learning algorithms to evaluate our model on real-world Ethereum transaction *** experimental results demonstrate that our proposed features identify phishing accounts efficiently and outperform the baseline models by 4%in Recall and 5%in F1-score.

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