Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning

Author:

Lin Zhutian,Xiao Xi,Hu GuangwuORCID,Li Qing,Zhang Bin,Luo Xiapu

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference33 articles.

1. Lgbm: a machine learning approach for ethereum fraud detection;Aziz;Int. J. Inf. Technol.,2022

2. A machine learning based approach to detect the ethereum fraud transactions with limited attributes;Aziz;Karbala Int. J. Mod. Sci.,2022

3. Machine learning-based soft computing regression analysis approach for crime data prediction;Aziz;Karbala Int. J. Mod. Sci.,2022

4. Modified genetic algorithm with deep learning for fraud transactions of ethereum smart contract;Aziz;Appl. Sci.,2023

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1. BiLSTM4DPS: An attention-based BiLSTM approach for detecting phishing scams in ethereum;Expert Systems with Applications;2024-12

2. Ethereum Phishing Scam Detection Based on Data Augmentation Method and Hybrid Graph Neural Network Model;Sensors;2024-06-20

3. A blockchain-based privacy protecting framework with multi-channel access control model for asset trading;Peer-to-Peer Networking and Applications;2024-06-04

4. A Blockchain Phishing Scam Detection Method Based on Ethereum Transaction Subgraph;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

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