Financial cybercrime: A comprehensive survey of deep learning approaches to tackle the evolving financial crime landscape
J Nicholls, A Kuppa, NA Le-Khac - Ieee Access, 2021 - ieeexplore.ieee.org
Machine Learning and Deep Learning methods are widely adopted across financial
domains to support trading activities, mobile banking, payments, and making customer credit …
domains to support trading activities, mobile banking, payments, and making customer credit …
Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview
IH Sarker - Security and Privacy, 2023 - Wiley Online Library
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …
prominent field of research and application that typically focuses on securing devices …
Past, present, and future of the application of machine learning in cryptocurrency research
YS Ren, CQ Ma, XL Kong, K Baltas… - Research in International …, 2022 - Elsevier
Cryptocurrency has captured the interest of financial scholars and become a major research
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …
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 …
Decentralized finance—A systematic literature review and research directions
E Meyer, IM Welpe, PG Sandner - 2022 - papers.ssrn.com
Abstract Decentralized Finance (DeFi) is the (r) evolutionary movement to create a solely
code-based, intermediary-independent financial system—a movement which has grown …
code-based, intermediary-independent financial system—a movement which has grown …
Fa-gnn: Filter and augment graph neural networks for account classification in ethereum
As the first blockchain platform supporting smart contracts, Ethereum has become
increasingly popular in recent years and generates a massive number of transaction …
increasingly popular in recent years and generates a massive number of transaction …
Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview
Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests
from both industrial and academic communities. With its rapid development, the …
from both industrial and academic communities. With its rapid development, the …
Who is who on Ethereum? Account labeling using heterophilic graph convolutional network
To combat cybercrimes and maintain financial security for the blockchain ecosystem,“know
your customer”(KYC) is an essential and also challenging process due to the pseudonymity …
your customer”(KYC) is an essential and also challenging process due to the pseudonymity …
Do cryptocurrency exchanges fake trading volumes? An empirical analysis of wash trading based on data mining
Cryptocurrency exchanges, which act as a platform for cryptocurrency trading, play a vital
role in the ever-growing cryptocurrency market. However, with the rapid development of this …
role in the ever-growing cryptocurrency market. However, with the rapid development of this …
On-chain analysis-based detection of abnormal transaction amount on cryptocurrency exchanges
Cryptocurrency exchanges play an indispensable role in the cryptocurrency market.
However, some exchanges are suspected to be involved in various abnormal or malicious …
However, some exchanges are suspected to be involved in various abnormal or malicious …