39 citations · 45 across the 9 of their papers we have counts for
10 papers
Unveiling Dynamics and Patterns: A Comprehensive Analysis of Spreading Patterns and Similarities in Low-Labelled Ransomware Families
Francesco Zola, Mikel Gorricho, Jon Ander Medina +2
Ransomware has become one of the most widespread threats, primarily due to its easy deployment and the accessibility to services that enable attackers to raise and obfuscate funds.…
Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financing
Francesco Zola, Lander Segurola, Erin King +2
Tools for fighting cyber-criminal activities using new technologies are promoted and deployed every day. However, too often, they are unnecessarily complex and hard to use, requiri…
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness
Xabier Echeberria-Barrio, Mikel Gorricho, Selene Valencia +1
The usage of Artificial Intelligence (AI) systems has increased exponentially, thanks to their ability to reduce the amount of data to be analyzed, the user efforts and preserving…
Conditional Generative Adversarial Network for keystroke presentation attack
Idoia Eizaguirre-Peral, Lander Segurola-Gil, Francesco Zola
Cybersecurity is a crucial step in data protection to ensure user security and personal data privacy. In this sense, many companies have started to control and restrict access to t…
Verification system based on long-range iris and Graph Siamese Neural Networks
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse +2
Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision…
NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices
Lander Segurola-Gil, Francesco Zola, Xabier Echeberria-Barrio +1
In the recent years, cybersecurity has gained high relevance, converting the detection of attacks or intrusions into a key task. In fact, a small breach in a system, application, o…
Temporal graph-based approach for behavioural entity classification
Francesco Zola, Lander Segurola, Jan Lukas Bruse +1
Graph-based analyses have gained a lot of relevance in the past years due to their high potential in describing complex systems by detailing the actors involved, their relations an…
Generative Adversarial Networks for Bitcoin Data Augmentation
Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio +2
In Bitcoin entity classification, results are strongly conditioned by the ground-truth dataset, especially when applying supervised machine learning approaches. However, these grou…
Kriptosare.gen, a dockerized Bitcoin testbed: analysis of server performance
Francesco Zola, Cristina Pérez-Solá, Jon Egaña Zubia +2
Bitcoin is a peer-to-peer distributed cryptocurrency system, that keeps all transaction history in a public ledger known as blockchain. The Bitcoin network is implicitly pseudoanon…
Cascading Machine Learning to Attack Bitcoin Anonymity
Francesco Zola, Maria Eguimendia, Jan Lukas Bruse +1
Bitcoin is a decentralized, pseudonymous cryptocurrency that is one of the most used digital assets to date. Its unregulated nature and inherent anonymity of users have led to a dr…