Design of Firewall Model Based on Network Processor
This paper proposes a machine learning based neural network algorithm to evaluate the firewall model of network processors and test the effectiveness of the evaluation algorithm.Consider the influencing factors of the firewall design model for network processors,analyze the data structure of network processors,decompose the tasks of the firewall model to achieve the design of the firewall model,and complete simulation testing of the algorithm under the neural network algorithm.The test results confirm that the stability warning ability of fuzzy neural networks for distribution network firewalls is superior to traditional machine learning algorithms.This algorithm has positive significance for the stability evaluation process of firewall model design.
NETL
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