Research on Legal Network Monitoring Based on Decision Tree
With increasing requirements for communication security nowadays, traditional legal monitoring system can no longer satisfy our actual needs. Design of a reasonable legal monitoring system is imperative. Based on analysis on legal monitoring system actions and messaging classification process, this thesis designed an optimization scheme for legal monitoring system according to hierarchal matching of decision tree ideology and geometric space collection calculation. At last, it simulated and compared the processing durations of original H3C legal monitoring scheme and the improved scheme. Besides, it tested and verified that under condition of 500Mbps constant mass flow, the performance of the legal monitoring model based on decision tree can be significantly improved compared with that of original legal monitoring system, providing great application value and high theoretical significance.