Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ángel Luis Perales Gómez"'
Autor:
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
Publikováno v:
IET Information Security, Vol 17, Iss 4, Pp 553-566 (2023)
Abstract When detecting cyberattacks in Industrial settings, it is not sufficient to determine whether the system is suffering a cyberattack. It is also fundamental to explain why the system is under a cyberattack and which are the assets affected. I
Externí odkaz:
https://doaj.org/article/cd26271215924d62b9d11975ee1a0f25
Autor:
Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente
Publikováno v:
Symmetry, Vol 12, Iss 10, p 1583 (2020)
Industrial Control Systems (ICSs) are widely used in critical infrastructures to support the essential services of society. Therefore, their protection against terrorist activities, natural disasters, and cyber threats is critical. Diverse cyber atta
Externí odkaz:
https://doaj.org/article/740fcd71080b45b09bbd05d3e426e96f
Autor:
Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz, Ginés García-Mateos, Gregorio Bernabé García, Félix J. García Clemente
Publikováno v:
Cluster Computing. 25:2163-2178
The race for automation has reached farms and agricultural fields. Many of these facilities use the Internet of Things technologies to automate processes and increase productivity. Besides, Machine Learning and Deep Learning allow performing continuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894d267e09c67b4ae6bcc055f62c9330
https://doi.org/10.1007/s10586-021-03489-9
https://doi.org/10.1007/s10586-021-03489-9
Autor:
Lorenzo Fernández Maimó, Javier Maroto, Alberto Huertas Celdrán, Félix Jesús Garcia Clemente, Ángel Luis Perales Gómez, Gérôme Bovet
Publikováno v:
IEEE Access. 10:124582-124594
Anomaly Detection systems based on Machine and Deep learning are the most promising solutions to detect cyberattacks in the industry. However, these techniques are vulnerable to adversarial attacks that downgrade prediction performance. Several techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::859bc68bf400f05ace0e39be09f0d57f
https://doi.org/10.1109/access.2022.3224930
https://doi.org/10.1109/access.2022.3224930
Autor:
Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Félix J. García Clemente, Frances Cleary
Publikováno v:
ANT/EDI40
The increasing adoption of the Industry 4.0 paradigm encompasses digitally interconnected factories which enables many advantages. However, it is still necessary to dedicate effort towards investigating protection mechanisms against cyberattacks in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d3e75942f9574969a62fbe76a78845
https://doi.org/10.1016/j.procs.2021.03.072
https://doi.org/10.1016/j.procs.2021.03.072
Autor:
Ángel Luis Perales Gómez, Félix J. García Clemente, Lorenzo Fernández Maimó, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Publikováno v:
Software: Practice and Experience. 51:607-627
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::738b52824efd07489c0a5ca57c358851
https://doi.org/10.1002/spe.2879
https://doi.org/10.1002/spe.2879
Autor:
Félix J. García Clemente, Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Alberto Huertas Celdrán
Publikováno v:
Advances in Malware and Data-Driven Network Security
In the last decades, factories have suffered a significant change in automation, evolving from isolated towards interconnected systems. However, the adoption of open standards and the opening to the internet have caused an increment in the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143eff1591e0841fa9556bb794ad6d92
https://doi.org/10.4018/978-1-7998-7789-9.ch005
https://doi.org/10.4018/978-1-7998-7789-9.ch005
Autor:
Ángel Luis Perales Gómez, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Félix Jesús Garcia Clemente
Publikováno v:
Sustainable Computing: Informatics and Systems. 37:100842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34f02d3cc96a21c70727572f7487eae1
https://doi.org/10.1016/j.suscom.2022.100842
https://doi.org/10.1016/j.suscom.2022.100842
Autor:
Ruben Mendez Nistal, Félix J. García Clemente, Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Carlos Javier Del Canto Masa, Cristian Cadenas Sarmiento, Alberto Huertas Celdrán
Publikováno v:
IEEE Access, Vol 7, Pp 177460-177473 (2019)
In recent decades, Industrial Control Systems (ICS) have been affected by heterogeneous cyberattacks that have a huge impact on the physical world and the people’s safety. Nowadays, the techniques achieving the best performance in the detection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9098744c392f4c991de07e97d3c9c526
https://ieeexplore.ieee.org/document/8926471/
https://ieeexplore.ieee.org/document/8926471/