摘要
随着网络攻击手段的不断进化,传统的安全防护机制难以应对日益复杂的安全威胁。文章详细探讨了基于神经网络算法的通信网络安全风险评估系统的设计与实现,涵盖系统的架构设计、安全风险评估模型的构建以及系统的最终实现与测试。经评估,本研究验证了所提模型的有效性与实用性,为未来通信网络的安全管理提供了新的指导。
With the continuous evolution of network attack methods,traditional security protection mechanisms are difficult to cope with increasingly complex security threats.This article discusses in detail the design and implementation of a communication network security risk assessment system based on neural network algorithms,covering the system architecture design,construction of security risk assessment models,feature extraction and preprocessing methods of key data,as well as the final implementation and testing of the system.After evaluation,the effectiveness and practicality of the proposed model have been verified in this study,providing new guidance for future communication network security management.
作者
李淑芳
LI Shufang(Pingdingshan Vocational and Technical College,Pingdingshan Henan 467000,China)
出处
《信息与电脑》
2024年第9期93-95,共3页
Information & Computer
关键词
通信安全
神经网络算法
风险评估
通信网络
communication security
neural network algorithms
risk assessment
communication network
