activity
20242026
most citedA Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

A Tree-Structured Approach for Phishing Template and Attacker Attribution Analysis

Unai Agirre, Imanol Jerico, Felipe Castaño +2

Phishing remains a persistent and evolving cybersecurity threat, with attack volumes reaching record levels. This growth is driven by the industrialization of phishing through wide…

cs.LG2026

Identification and Anonymization of Named Entities in Unstructured Information Sources for Use in Social Engineering Detection

Carlos Jimeno Miguel, Raul Orduna, Francesco Zola

This study addresses the challenge of creating datasets for cybercrime analysis while complying with the requirements of regulations such as the General Data Protection Regulation…

cs.LG2026

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…

cs.CR2025

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…

cs.CR2025

Inside LockBit: Technical, Behavioral, and Financial Anatomy of a Ransomware Empire

Felipe Castaño, Constantinos Patsakis, Francesco Zola +1

LockBit has evolved from an obscure Ransomware-as-a-Service newcomer in 2019 to the most prolific ransomware franchise of 2024. Leveraging a recently leaked MySQL dump of the gang'…

cs.LG2025★ 1 cited

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…

cs.CR2025

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction

Felipe Castaño, Eduardo Fidalgo, Enrique Alegre +3

Phishing attacks pose a significant cybersecurity threat, evolving rapidly to bypass detection mechanisms and exploit human vulnerabilities. This paper introduces PhishKey to addre…

cs.CR2025

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…

cs.CR2024

Assessing the Impact of Sanctions in the Crypto Ecosystem: Effective Measures or Ineffective Deterrents?

Francesco Zola, Jon Ander Medina, Raul Orduna

Regulatory authorities aim to tackle illegal activities by targeting the economic incentives that drive such behaviour. This is typically achieved through the implementation of fin…