Financial fraud detection using graph neural networks: A systematic review
Financial fraud is a persistent problem in the finance industry that may have severe
consequences for individuals, businesses, and economies. Graph Neural Networks (GNNs) …
consequences for individuals, businesses, and economies. Graph Neural Networks (GNNs) …
Ai-powered fraud detection in decentralized finance: A project life cycle perspective
Decentralized finance (DeFi) represents a novel financial system but faces significant fraud
challenges, leading to substantial losses. Recent advancements in artificial intelligence (AI) …
challenges, leading to substantial losses. Recent advancements in artificial intelligence (AI) …
Financial crimes in web3-empowered metaverse: Taxonomy, countermeasures, and opportunities
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 …
major industries. With the rapid development of blockchain and Web3 technologies, the …
Blockchain intelligence: Intelligent blockchains for web 3.0 and beyond
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 …
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
With the wide adoption of cryptocurrency, blockchain technologies have become the
foundation of such digital currencies. However, this adoption has been accompanied by a …
foundation of such digital currencies. However, this adoption has been accompanied by a …
Bert4eth: A pre-trained transformer for ethereum fraud detection
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 …
malicious activities to protect susceptible users from being victimized. While current studies …
Fishing for Fraudsters: Uncovering Ethereum Phishing Gangs With Blockchain Data
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 …
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 …
poised to reshape business value creation. This study provides an overview of research …
Artificial Intelligence for Web 3.0: A Comprehensive Survey
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 and cryptography. It is born to solve the problems faced by the previous …
Blockchain Data Mining With Graph Learning: A Survey
Blockchain data mining has the potential to reveal the operational status and behavioral
patterns of anonymous participants in blockchain systems, thus providing valuable insights …
patterns of anonymous participants in blockchain systems, thus providing valuable insights …