Planning Exploitation Graph-Bayesian networks Model for Information Security Risk Frequency Measurement

A planning exploitation graph-bayesian networks model that can be applied in measurement of information security risk frequency is proposed,and the model's scalability,accuracy and objectivity are achieved.The model graph structure is determined by Planning Exploitation Graph,the local conditional probability distributions are computed by combination of expertise knowledge and the maximum entropy prior probability distribution method,and the model parameters are updated with training data by Bayesian networks learning.The analysis of the example shows the model could evaluate the information security risk frequency successfully.