Sensitivity Analysis of a Baysian Network Model on PCM Equipments

Abstract

In power communication systems, the pulse code modulation (PCM) equipment play an important role. Its security has been a focus of attention, when the concept of cyber physical system is proposed. In order to solve the security problem of PCM equipments, a Bayesian Network (BN) model is used in this paper. By analyzing the sensitivity of BN model, we can get the influence of each input variable to outcome variables. For illustration, four PCM equipments are selected from some substations. They are utilized to show the feasibility of the BN model in evaluating the security of PCM equipments and the sensitivity analysis. Empirical results show that some effective counter measures can be found to help decision maker improve the security of PCM equipments. The BN model can effectively evaluate the security of PCM equipments. After analyzing the sensitivity, the most reasonable and effective countermeasures are advanced.