A Machine Learning based Approach to Detect the Ethereum Fraud Transactions with Limited Attributes-Reference-Cited by-同舟云学术

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A Machine Learning based Approach to Detect the Ethereum Fraud Transactions with Limited Attributes

Published:2022-05-05 Issue:2 Volume:8 Page:139-151
ISSN:2405-609X
Container-title:Karbala International Journal of Modern Science
language:en
Short-container-title:Karbala International Journal of Modern Science

Author:

Aziz Rabia Musheer,Baluch Mohammed Farhan,Patel Sarthak,Kumar Pavan

Publisher

University of Kerbala - KIJOMS

Subject

Physics and Astronomy (miscellaneous),Multidisciplinary,Biochemistry, Genetics and Molecular Biology (miscellaneous),Chemistry (miscellaneous),Computer Science (miscellaneous)

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of performance enhancement in Ethereum fraud detection using oversampling techniques;Applied Soft Computing;2024-08

2. Suspicious transaction alert and blocking system for cryptocurrency exchanges in metaverse’s social media universes: RG-guard;Neural Computing and Applications;2024-08-01

3. Analyzing the performance of geometric mean optimization-based artificial neural networks for cryptocurrency forecasting;International Journal of Information Technology;2024-06-03

4. Can Machine Learning Outperform Deep Learning in Financial Fraud Detection?: A Comprehensive Look at Improving Fraud Prevention Strategies;2024

5. Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning;Computers & Security;2023-12

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