Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Francesco Zola"'
Autor:
José Álvaro Fernández-Carrasco, Xabier Echeberria-Barrio, Daniel Paredes-García, Francesco Zola, Raul Orduna-Urrutia
Publikováno v:
Smart Cities, Vol 6, Iss 2, Pp 897-912 (2023)
In industrial environments there are critical devices, so their correct operation must be ensured. In particular, having a secure record of the different events related to these devices is essential. Thus, this record can be used in future forensic i
Externí odkaz:
https://doaj.org/article/888fdef21a3a4fd3b6bf2aa2a9857f0b
Publikováno v:
Applied Sciences, Vol 9, Iss 23, p 5003 (2019)
The Bitcoin network not only is vulnerable to cyber-attacks but currently represents the most frequently used cryptocurrency for concealing illicit activities. Typically, Bitcoin activity is monitored by decreasing anonymity of its entities using mac
Externí odkaz:
https://doaj.org/article/abe9f7a49b34410eb9362d2e42b23efc
Publikováno v:
European Conference on Cyber Warfare and Security. 21:271-279
Domain Generation Algorithms (DGA) are systems used to create immediate multiple and varying domain names. Such “artificial” domains can be then used for siting command and control servers which in turn oversee recruiting/infecting devices, and f
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031212284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c6fc08123233795e8fd6c7e81d24b2f
https://doi.org/10.1007/978-3-031-21229-1_4
https://doi.org/10.1007/978-3-031-21229-1_4
Publikováno v:
2022 The 3rd European Symposium on Software Engineering.
Publikováno v:
2022 IEEE Future Networks World Forum (FNWF).
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc3d6c18229dfa18feb9ad3ce18d3af0
Autor:
Francesco Zola
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
instname
The main goal of this thesis is to improve behavioral cybersecurity analysis using machine learning, exploiting graph structures, temporal dissection, and addressing imbalance problems.This main objective is divided into four specific goals: OBJ1: To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83a0a8a9d29499801d7001909f594d7d
https://hdl.handle.net/2454/44259
https://hdl.handle.net/2454/44259
Publikováno v:
Academica-e
ORCID
Recolector de Ciencia Abierta, RECOLECTA
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
ORCID
Recolector de Ciencia Abierta, RECOLECTA
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Classification of Bitcoin entities is an important task to help Law Enforcement Agencies reduce anonymity in the Bitcoin blockchain network and to detect classes more tied to illegal activities. However, this task is strongly conditioned by a severe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3409caf319b942884f2477760218dea2
https://hdl.handle.net/2454/43965
https://hdl.handle.net/2454/43965
Publikováno v:
BRAINS
Blockchain technology has gained much relevance in recent years, specifically the smart contract functionality, due to its great potential to decentralize different required scenarios. This technology brings many advantages, in particular, smart cont