Title: Improving Security for SCADA Sensor Networks with Reputation Systems and Self- Organizing Maps
Authors: José M. Moya, A. Araujo, Z. Bankovic, J.M. de Goyeneche, J.C. Vallejo, P. Malagón, D. Villanueva, D. Fraga, E. Romero, J. Blesa
Published in: Sensors, Vol 9
ISSN : 1424–8220
Date of Publication: November 2009
Digital Object Identifier : 10.3390/s91109380
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.