Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Raul Orduna-Urrutia"'
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 12, Iss 8, p 3725 (2022)
Deep neural network models have been developed in different fields, bringing many advances in several tasks. However, they have also started to be incorporated into tasks with critical risks. That worries researchers who have been interested in study
Externí odkaz:
https://doaj.org/article/fce5c9fc822f43dcb36716867f4e5a88
Publikováno v:
Neural Computing and Applications. 34:20477-20490
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:
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:
2022 IEEE Future Networks World Forum (FNWF).
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
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030937324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4b3206afbb431a5ceee03f243fb2d7
https://doi.org/10.1007/978-3-030-93733-1_4
https://doi.org/10.1007/978-3-030-93733-1_4
Publikováno v:
Addi. Archivo Digital para la Docencia y la Investigación
instname
IEEE Access, Vol 9, Pp 107184-107199 (2021)
instname
IEEE Access, Vol 9, Pp 107184-107199 (2021)
The Software Defined Networking (SDN) paradigm enables the development of systems that centrally monitor and manage network traffic, providing support for the deployment of machine learning-based systems that automatically detect and mitigate network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f1cc463767cc297e8c19e5899cf9ae9
http://hdl.handle.net/10810/53523
http://hdl.handle.net/10810/53523