Observatorio de I+D+i UPM

Descripción
We address the issue of large scale network security. It is known that traditional game theory becomes intractable when considering a large number of players, which is a realistic situation in today's networks where a centralized administration is not available. We propose a new model, based on mean field theory, that allows us to obtain optimal decentralised defence policy for any node in the network and optimal attack policy for an attacker. In this way we settle a promising framework for the development of a mean field game theory of large scale network security. We also present a case study with experimental results.
Internacional	Si
Nombre congreso	24th European Signal Processing Conference (EUSIPCO)
Tipo de participación	970
Lugar del congreso	Budapest
Revisores	Si
ISBN o ISSN	2076-1465
DOI	10.1109/EUSIPCO.2016.7760393
Fecha inicio congreso	29/08/2016
Fecha fin congreso	02/09/2016
Desde la página	1
Hasta la página	5
Título de las actas	Signal Processing Conference (EUSIPCO), 2016 24th European

Esta actividad pertenece a memorias de investigación

• Autor: Jorge del Val (BEEVA)
• Autor: Santiago Zazo Bello (UPM)
• Autor: Sergio Valcarcel Macua (UPM)
• Autor: Javier Zazo Ruiz (UPM)
• Autor: Juan Parras Moral (UPM)

• Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
• Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
• Departamento: Señales, Sistemas y Radiocomunicaciones