基于网络处理器的防火墙模型设计
Design of Firewall Model Based on Network Processor
范晓东1
作者信息
摘要
设计一种基于机器学习的神经网络算法,评价网络处理器的防火墙模型,并测试评价算法效能.考虑网络处理器的防火墙设计模型的影响因素,分析网络处理器的数据结构,对防火墙模型的任务进行分解实现防火墙模型的设计,并在神经网络算法下完成算法的仿真测试.测试结果证实模糊神经网络对配网防火墙的稳定性预警能力优于传统的机器学习算法.该算法对防火墙模型设计的稳定性评价过程有积极意义.
Abstract
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.
关键词
网络处理器/防火墙模型/模糊神经网络Key words
network processor/firewall model/fuzzy neural networks引用本文复制引用
出版年
2024
NETL
NSTL
万方数据