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pro vyhledávání: '"Mario Sanz Rodrigo"'
Autor:
Mario Sanz Rodrigo, Diego Rivera, Jose Ignacio Moreno, Manuel Alvarez-Campana, Diego R. Lopez
Publikováno v:
IEEE Access, Vol 11, Pp 38112-38126 (2023)
A Mobile Networks Digital Twin (MNDT) is a virtual replica of a mobile communication network that accurately models the devices, the communication links, the operating environment, and the applications that run on the physical network. By replicating
Externí odkaz:
https://doaj.org/article/1e46348ce3084a0bb08fcbedca3d27bf
Publikováno v:
IEEE Access, Vol 11, Pp 2968-2980 (2023)
In the next 10 years, the telecommunications sector will be dominated by the deployment of pervasive networking available in a wide range of heterogeneous scenarios applying 5G (and beyond) technologies. SDN, NFV as well as Network Sliding Technologi
Externí odkaz:
https://doaj.org/article/4f3aa581e84a478890d439ceaa48557a
Publikováno v:
IEEE Access, Vol 8, Pp 9005-9014 (2020)
Artificial intelligence algorithms have a leading role in the field of cybersecurity and attack detection, being able to present better results in some scenarios than classic intrusion detection systems such as Snort or Suricata. In this sense, this
Externí odkaz:
https://doaj.org/article/50e88c643973406ca93f91ef434e86e8
Autor:
Carmen Sánchez-Zas, Xavier Larriva-Novo, Víctor A. Villagrá, Mario Sanz Rodrigo, José Ignacio Moreno
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4043 (2022)
Companies, institutions or governments process large amounts of data for the development of their activities. This knowledge usually comes from devices that collect data from various sources. Processing them in real time is essential to ensure the fl
Externí odkaz:
https://doaj.org/article/bd6e6f3db8c94dde8163abfe9f94b0b0
Publikováno v:
Sensors, Vol 21, Iss 2, p 656 (2021)
Security in IoT networks is currently mandatory, due to the high amount of data that has to be handled. These systems are vulnerable to several cybersecurity attacks, which are increasing in number and sophistication. Due to this reason, new intrusio
Externí odkaz:
https://doaj.org/article/7f16ef3faf574ae8a950e3d836303a15
Publikováno v:
IEEE Access, Vol 8, Pp 9005-9014 (2020)
IEEE Access, ISSN 2169-3536, 2020, Vol. 8
Archivo Digital UPM
Universidad Politécnica de Madrid
IEEE Access, ISSN 2169-3536, 2020, Vol. 8
Archivo Digital UPM
Universidad Politécnica de Madrid
Artificial intelligence algorithms have a leading role in the field of cybersecurity and attack detection, being able to present better results in some scenarios than classic intrusion detection systems such as Snort or Suricata. In this sense, this
Publikováno v:
Sensors, ISSN 1424-8220, 2021, Vol. 21, No. 2
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors
Volume 21
Issue 2
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 656, p 656 (2021)
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors
Volume 21
Issue 2
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 656, p 656 (2021)
Security in IoT networks is currently mandatory, due to the high amount of data that has to be handled. These systems are vulnerable to several cybersecurity attacks, which are increasing in number and sophistication. Due to this reason, new intrusio