A Systematic Review of Detecting Illicit Bitcoin Transactions-Reference-Cited by-同舟云学术

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A Systematic Review of Detecting Illicit Bitcoin Transactions

Published:2022 Issue: Volume:207 Page:3217-3225
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Lin Chang-Yi,Liao Hsiang-Kai,Tsai Fu-Ching

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. Improving Bitcoin Ownership Identification Using Transaction Patterns Analysis;Chang;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2020

2. Bitcoin mixing detection using deep autoencoder;Nan,2018

3. Identifying bitcoin users using deep neural network;Shao,2018

4. Detecting Mixing Services via Mining Bitcoin Transaction Network With Hybrid Motifs;Wu;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2021

Cited by 5 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. Bitcoin Money Laundering Detection via Subgraph Contrastive Learning;Entropy;2024-02-28

2. Enhancing Security for Online Transactions through Supervised Machine Learning and Block Chain Technology in Credit Card Fraud Detection;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

3. Bitcoin Shared Send Transactions Untangling in Numbers;IEEE Access;2023

4. State of the Art Literature on Anti-money Laundering Using Machine Learning and Deep Learning Techniques;Lecture Notes on Data Engineering and Communications Technologies;2023

5. Machine Learning on Blockchain Data: A Systematic Mapping Study;2023

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