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Memorias de investigación
Artículos en revistas:
Detecting unknown attacks in wireless sensor networks that contain mobile nodes
Año:2012
Áreas de investigación
  • Diseño de sistemas electrónicos con sistemas microprocesadores,
  • Redes de sensores
Datos
Descripción
As wireless sensor networks are usually deployed in unattended areas, security policies cannot be updated in a timely fashion upon identification of new attacks. This gives enough time for attackers to cause significant damage. Thus, it is of great importance to provide protection from unknown attacks. However, existing solutions are mostly concentrated on known attacks. On the other hand, mobility can make the sensor network more resilient to failures, reactive to events, and able to support disparate missions with a common set of sensors, yet the problem of security becomes more complicated. In order to address the issue of security in networks with mobile nodes, we propose a machine learning solution for anomaly detection along with the feature extraction process that tries to detect temporal and spatial inconsistencies in the sequences of sensed values and the routing paths used to forward these values to the base station. We also propose a special way to treat mobile nodes, which is the main novelty of this work. The data produced in the presence of an attacker are treated as outliers, and detected using clustering techniques. These techniques are further coupled with a reputation system, in this way isolating compromised nodes in timely fashion. The proposal exhibits good performances at detecting and confining previously unseen attacks, including the cases when mobile nodes are compromised.
Internacional
Si
JCR del ISI
Si
Título de la revista
Sensors
ISSN
1424-8220
Factor de impacto JCR
1,739
Información de impacto
Volumen
12
DOI
10.3390/s120810834
Número de revista
8
Desde la página
10834
Hasta la página
10850
Mes
SIN MES
Ranking
Q1 INSTRUMENTS & INSTRUMENTATION (14/58)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Zorana Bankovic (UPM-LSI)
  • Autor: David Fraga Aydillo (UPM)
  • Autor: Jose Manuel Moya Fernandez (UPM)
  • Autor: Juan Carlos Vallejo (UPM-LSI)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Departamento: Ingeniería Electrónica
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