Rapid classification method of document security levels based on decision tree

Document security management is important for governments and enterprises. It is a huge workload to determine the security level of many documents in personal computers. In this paper, a classification method of document security level based on decision tree is proposed, which uses machine learning to determine the security level of documents detected by security detection system. In this method, in order to realize the rapid analysis and accurate determination of documents, the algorithm of decision tree is established through the reasonable features of documents. The simulation results show that the method is flexible and fast, and it can effectively solve the problem of document security level classification.