Security Analysis about a Train Control Center Based on a Bayesian Network
Xiqiang Zhou, Yadong Zhang · 2015
In this paper, by the study of the train control center, we will build a Bayesian networks model on the train control center in GeNIe, then we can use Bayesian networks structure learning algorithm combined with the corresponding original network optimization[1]; at the same time based on multiple fuzzy expert root node evaluation prior probability of Bayesian networks analysis algorithms we can get the root of its initial probability distribution, and through parameter learning of the Bayesian networks we can do quantitative safety analysis on the train control center. By the safety analysis model of the train control center based on Bayesian networks we can not only appropriate security risk quantification calculations train control center, but so analysis and diagnose the main factors which lead to different consequences and posterior probabilities.