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Información del proyecto

ID: 833685

Fecha inicio

01-07-2019

Fecha fin

30-06-2022


Coordinador institucional
Universidad Politécnica de Madrid

Financiación

464 708,15 Euros
(Total amount or amount awarded)

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16 de marzo de 2021
Proyectos I+D+I y Ayudas
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Proyecto Competitivo
No

a cyberSecurity Platform for vIrtualiseD 5G cybEr Range services

Investigadores/as: López Presa, José Luis (Participante); VAZQUEZ GALLO, ENRIQUE (Participante); RIVERA PINTO, DIEGO (Participante); Berrocal Colmenarejo, Julio José (Participante); ALVAREZ-CAMPANA FDEZ.-CORREDOR, MANUEL (Participante); VEGA BARBAS, MARIO (Participante); Villagrá González, Victor Abraham (Participante); VIDALLER SISO, LEON (Participante); Moreno Novella, José Ignacio (Investigador principal (IP)); MOZO VELASCO, BONIFACIO ALBERTO (Investigador principal (IP)); GOMEZ CANAVAL, SANDRA MARIA (Participante); Vakaruk, Stanislav (Participante); TALAVERA MUÑOZ, EDGAR (Participante); GONZALEZ PRIETO, JOSE ANGEL (Participante); Arroyo Montoro, Fernando (Participante)

Afiliaciones

UPM. Grupo de Modelización Matemática y Biocomputación (Grupo de investigacion)
UPM. Grupo de Ingeniería de Redes y Servicios Avanzados de Telecomunicación (Grupo de investigacion)
UPM. Grupo de Innovación Educativa Tutorial Action (Innovation group)
UPM. Redes y Servicios de Comunicaciones (Innovation group)
UPM. E.T.S. DE ING. DE SISTEMAS INFORMÁTICOS (School)
UPM. SISTEMAS INFORMÁTICOS (University Department)
UPM. MERCATOR: Tecnologías de la GeoInformación y Sistemas Inteligentes (Grupo de investigacion)
UPM. Grupo de Modelización Matemática y Biocomputación (Grupo de investigacion)
UPM. Redes y Servicios de Telecomunicación e Internet (Grupo de investigacion)
UPM. Innovación Tecnológica para las Personas (InnoTep) (Grupo de investigacion)
UPM. KNOwledge Discovery and Information Systems (KNODIS) (Grupo de investigacion)
UPM. Modelos de Interacción Avanzados para el Aprendizaje Activo y Cooperativo (Innovation group)
UPM. Tecnologías Educativas y Métodos Activos de Aprendizaje (Innovation group)
UPM. E.T.S. DE INGENIEROS DE TELECOMUNICACION (School)
UPM. DOCTORADO EN CIENCIAS Y TECNOLOGIAS DE LA COMPUTACION PARA SMART CITIES (Doctorate Program)
UPM. INGENIERÍA TELEMÁTICA Y ELECTRÓNICA (University Department)
UPM. SISTEMAS INFORMÁTICOS (University Department)
UPM. INGENIERÍA DE SISTEMAS TELEMÁTICOS (University Department)
UPM. CENTRO I+D+I PROC. INFORMACIÓN Y TELECOM (Institute or University Research Center)
UPM. Universidad Politécnica de Madrid (University)
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Resumen

The increasing complexity of the telecommunication domain's cyber threat landscape intensifies the need for new security solutions and for improving the technical security skills of experts and non-experts in the multi-tenant and multi-service environments coming with the domain's 5th generation (5G). At the same time, attack mechanisms are increasingly sophisticated, pervading critical infrastructures despite billions of euros invested in cybersecurity measures. To address the above, SPIDER delivers an innovative Cyber Range as a Service platform that extends and combines the capabilities of existing telecommunication testbeds and cyber ranges into a unified facility for (i) testing new security technologies, (ii) training modern cyber defenders in near real-world conditions, and (iii) supporting organisations and relevant stakeholders in making optimal cybersecurity investment decisions. At its core, it is a highly customisable dynamic network modelling instrument that enables real-life virtualisation and real-time emulation of networks and systems. It also offers real-time interaction and information sharing capabilities by acting as a serious gaming repository for multiple stakeholders to share material and maximise efficiency in delivering complex cyber exercises. SPIDER's gamified learning environment enables trainees to master how to use domain-specific cyber protection technologies and collaboratively improve their ability in handling incidents and risks. Complemented by cyber econometric capabilities, SPIDER also enables users to forecast the evolution of attacks and their associated economic impact through the application of innovative risk analysis methodologies, econometric models and real-time attack emulation. The proposed cyber range model will be validated in five highly realistic pilot use case scenarios aimed at demonstrating its applicability and validity for all requirements of the SU-DS01-2018 Call (simulation, training, and economics). (Most relevant results)

Palabras clave

Instituciones participantes

Indicios de calidad

Programa

H2020

Agencias financiadoras

Comisión Europea

Alcance

Internacional no UE

País

Belgium; France; Oman; Spain

Coordinador institucional

Si

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