Financial fraud detection using graph neural networks: A systematic review

S Motie, B Raahemi - Expert Systems with Applications, 2024 - Elsevier
Financial fraud is a persistent problem in the finance industry that may have severe
consequences for individuals, businesses, and economies. Graph Neural Networks (GNNs) …

Ai-powered fraud detection in decentralized finance: A project life cycle perspective

B Luo, Z Zhang, Q Wang, A Ke, S Lu, B He - ACM Computing Surveys, 2024 - dl.acm.org
Decentralized finance (DeFi) represents a novel financial system but faces significant fraud
challenges, leading to substantial losses. Recent advancements in artificial intelligence (AI) …

Financial crimes in web3-empowered metaverse: Taxonomy, countermeasures, and opportunities

J Wu, K Lin, D Lin, Z Zheng, H Huang… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
At present, the concept of metaverse has sparked widespread attention from the public to
major industries. With the rapid development of blockchain and Web3 technologies, the …

Blockchain intelligence: Intelligent blockchains for web 3.0 and beyond

J Li, R Qin, S Guan, J Hou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the next-generation Internet characterized by readability, writability, and ownability, Web
3.0 necessitates the fusion of blockchain and artificial intelligence (AI) technologies to …

Secure and scalable blockchain-based federated learning for cryptocurrency fraud detection: A systematic review

AA Ahmed, O Alabi - IEEE Access, 2024 - ieeexplore.ieee.org
With the wide adoption of cryptocurrency, blockchain technologies have become the
foundation of such digital currencies. However, this adoption has been accompanied by a …

Bert4eth: A pre-trained transformer for ethereum fraud detection

S Hu, Z Zhang, B Luo, S Lu, B He, L Liu - Proceedings of the ACM Web …, 2023 - dl.acm.org
As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these
malicious activities to protect susceptible users from being victimized. While current studies …

Fishing for Fraudsters: Uncovering Ethereum Phishing Gangs With Blockchain Data

J Liu, J Chen, J Wu, Z Wu, J Fang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As one of the most typical cybercrime types, phishing scams have extended the devil's hand
to the emerging blockchain ecosystem in recent years. Especially huge economic losses …

Decentralized finance (DeFi): a paradigm shift in the Fintech

R Xu, J Zhu, L Yang, Y Lu, LD Xu - Enterprise Information Systems, 2024 - Taylor & Francis
The financial landscape is undergoing a revolution with the Decentralized Finance (DeFi),
poised to reshape business value creation. This study provides an overview of research …

Artificial Intelligence for Web 3.0: A Comprehensive Survey

M Shen, Z Tan, D Niyato, Y Liu, J Kang, Z **ong… - ACM Computing …, 2024 - dl.acm.org
Web 3.0 is the next generation of the Internet built on decentralized technologies such as
blockchain and cryptography. It is born to solve the problems faced by the previous …

Blockchain Data Mining With Graph Learning: A Survey

Y Qi, J Wu, H Xu, M Guizani - IEEE Transactions on Pattern …, 2023 - ieeexplore.ieee.org
Blockchain data mining has the potential to reveal the operational status and behavioral
patterns of anonymous participants in blockchain systems, thus providing valuable insights …