Analysis of real singularities and its application to mathematical information

点击翻译按钮获取中文摘要

In this study, we studied on real singularities analysis in Bayesian inference and its application to information security. Firstly, we studied on real singularities of Bayesian inference and the generalization error. Secondly, we studied on the method to apply Bayesian inference to the detection of web application attacks. In that process, we proposed the extraction method of attack features using symbols in strings. By using the feature extraction method, we proposed a new stochastic model to detect web application attacks. Finally, we showed that the effectiveness of Bayesian inference concerning the application of the detection of web application attacks.