Analysis of Intelligent Information Security Risk Assessment Based on Decision Tree

In order to optimize problem of information security risks faced by the current social development, scientific research scholar assessed using machine learning algorithm is put forward the corresponding countermeasures, so can not only solve the previous evaluation subjectivity is strong, classification accuracy is too low, can reasonable use qualitative quantitative way to step by step a grading factors of information security risk assessment. Therefore, on the basis of understanding the application of machine learning algorithm, this paper comprehensively discusses how to do a good job of intelligent information security risk assessment according to the basic nature of decision tree.