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Article
Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps
Department Ingeniería Electrónica, ETSI Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense, 30, 28040 Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 9 October 2009; in revised form: 30 October 2009 / Accepted: 4 November 2009 / Published: 20 November 2009
Abstract: 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.
Keywords: SCADA control system; cyber security; critical infrastructure; reputation system; countermeasure; security framework
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Cite This Article
MDPI and ACS Style
Moya, J.M.; Araujo, Á.; Banković, Z.; De Goyeneche, J.-M.; Vallejo, J.C.; Malagón, P.; Villanueva, D.; Fraga, D.; Romero, E.; Blesa, J. Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps. Sensors 2009, 9, 9380-9397.
AMA Style
Moya JM, Araujo Á, Banković Z, De Goyeneche J-M, Vallejo JC, Malagón P, Villanueva D, Fraga D, Romero E, Blesa J. Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps. Sensors. 2009; 9(11):9380-9397.
Chicago/Turabian Style
Moya, José M.; Araujo, Álvaro; Banković, Zorana; De Goyeneche, Juan-Mariano; Vallejo, Juan Carlos; Malagón, Pedro; Villanueva, Daniel; Fraga, David; Romero, Elena; Blesa, Javier. 2009. "Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps." Sensors 9, no. 11: 9380-9397.