4 papers
Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders
Francesco Zola, Lucia Muñoz, Andrea Venturi +1
Illicit financial activities such as money laundering often manifest through recurrent topological patterns in transaction networks. Detecting these patterns automatically remains…
ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures
Andrea Venturi, Imanol Jerico-Yoldi, Francesco Zola +1
As Law Enforcement Agencies advance in cryptocurrency forensics, criminal actors aiming to conceal illicit fund movements increasingly turn to "mixin" services or privacy-based cry…
A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
Francesco Zola, Jon Ander Medina, Andrea Venturi +2
The rise of digital ecosystems has exposed the financial sector to evolving abuse and criminal tactics that share operational knowledge and techniques both within and across differ…
Topological Analysis of Mixer Activities in the Bitcoin Network
Francesco Zola, Jon Ander Medina, Andrea Venturi +1
Cryptocurrency users increasingly rely on obfuscation techniques such as mixers, swappers, and decentralised or no-KYC exchanges to protect their anonymity. However, at the same ti…