Securing a Wireless Networked Control System Using Information Fusion

Abstract

Security of a wireless sensor network practically governs its usability in several applications. Especially, in applications like Industrial control systems which use NCS and SCADA systems, the security affects the stability of the system. We propose to use an information fusion scheme which allows us to profile the different attacks in wireless sensor networks and study their affects on the control systems stability and feedback. We make use of the Bayesian Networks to obtain hypotheses as outputs which form the decisions. These decisions are made based on the feature extraction and estimation process of the entire information fusion scheme. This allows us to make sure that the WNCS works smoothly without any aberrations even under the influence of security attacks. In this paper, we go on to explain the process that we employ in ensuring the stability and security of the system.