Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zola, Francesco"'
Regulatory authorities aim to tackle illegal activities by targeting the economic incentives that drive such behaviour. This is typically achieved through the implementation of financial sanctions against the entities involved in the crimes. However,
Externí odkaz:
http://arxiv.org/abs/2409.10031
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. This latter aspect has been significantly enhanced with the advent of
Externí odkaz:
http://arxiv.org/abs/2406.04719
Publikováno v:
International Journal of Police Science & Management, Sage, 0(0), [2024]
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, requiring deep domain and technical knowledge. These characteristics often li
Externí odkaz:
http://arxiv.org/abs/2403.13625
Publikováno v:
CS and IT Conference Proceedings, CS and IT Conference Proceedings, 2024
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 a high rate of accuracy. However, introducing this new element in the
Externí odkaz:
http://arxiv.org/abs/2402.07506
Publikováno v:
2022 Spanish Cybersecurity Research Conference (JNIC 2022)
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 their data using authentication systems. However, these traditional aut
Externí odkaz:
http://arxiv.org/abs/2212.08445
Autor:
Zola, Francesco, Fernandez-Carrasco, Jose Alvaro, Bruse, Jan Lukas, Galar, Mikel, Geradts, Zeno
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. However, especially when physical biometrics are used, as is the cas
Externí odkaz:
http://arxiv.org/abs/2208.00785
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, or network, can cause huge damage for the companies. However, when this
Externí odkaz:
http://arxiv.org/abs/2109.07273
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 and their behaviours. Nevertheless, in scenarios where these aspects are
Externí odkaz:
http://arxiv.org/abs/2105.04798
Autor:
Zola, Francesco, Bruse, Jan Lukas, Barrio, Xabier Etxeberria, Galar, Mikel, Urrutia, Raul Orduna
In Bitcoin entity classification, results are strongly conditioned by the ground-truth dataset, especially when applying supervised machine learning approaches. However, these ground-truth datasets are frequently affected by significant class imbalan
Externí odkaz:
http://arxiv.org/abs/2005.13369
Autor:
Zola, Francesco, Pérez-Solá, Cristina, Zubia, Jon Egaña, Eguimendia, Maria, Herrera-Joancomartí, Jordi
Publikováno v:
2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS) (pp. 1-5). IEEE
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 pseudoanonymous and its nodes are controlled by independent entities making netw
Externí odkaz:
http://arxiv.org/abs/1910.07377