Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Optimal attack and defence of large scale networks using mean field theory
Year:2016
Research Areas
  • Game theory,
  • Differential games,
  • Engineering,
  • Postal and telecommunications services,
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
24th European Signal Processing Conference (EUSIPCO)
970
Place
Budapest
Reviewers
Si
ISBN/ISSN
2076-1465
10.1109/EUSIPCO.2016.7760393
Start Date
29/08/2016
End Date
02/09/2016
From page
1
To page
5
Signal Processing Conference (EUSIPCO), 2016 24th European
Participants
  • 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)
Research Group, Departaments and Institutes related
  • 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
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