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.
Rather than focusing on deploying a reputation system in a wireless sensor network, Moya et al. REF proposed a reputation mechanism in supervisory control and data acquisition (SCADA) sensor networks, which can achieve fault tolerance and enhanced resistance to some unknown attacks.
Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Engineering Computer Science Medicine