Sensors (Nov 2009)

Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps

  • Javier Blesa,
  • Elena Romero,
  • David Fraga,
  • Daniel Villanueva,
  • Pedro Malagón,
  • Juan Carlos Vallejo,
  • Juan-Mariano de Goyeneche,
  • Álvaro Araujo,
  • Zorana Banković,
  • José M. Moya

DOI
https://doi.org/10.3390/s91109380
Journal volume & issue
Vol. 9, no. 11
pp. 9380 – 9397

Abstract

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The reliable operation of modern infrastructures depends on computerized systems and Supervisory Control and Data Acquisition (SCADA) systems, which are also based on the data obtained from sensor networks. The inherent limitations of the sensor devices make them extremely vulnerable to cyberwarfare/cyberterrorism attacks. In this paper, we propose a reputation system enhanced with distributed agents, based on unsupervised learning algorithms (self-organizing maps), in order to achieve fault tolerance and enhanced resistance to previously unknown attacks. This approach has been extensively simulated and compared with previous proposals.

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