基于深度学习的网络安全管理模型设计  

Design of Network Security Management Model Based on Deep Learning

作　　者：马辉[1] MA Hui(Department of Modern Education Technology Centre,Henan Quality Polytechnic,Pingdingshan Henan 467000,China)

机构地区：[1]河南质量工程职业学院现代教育技术中心,河南平顶山467000

出　　处：《信息与电脑》2022年第3期224-226,共3页Information & Computer

摘　　要：传统网络信息安全检测方式已经不能满足实际需求,因此提出基于深度学习的网络安全管理模型。首先,构建网络平台防护框架,对网络数据进行安全检测;其次,构建基于深度学习的域名检测模型,对网络行为中的域名进行逐一分析和检测;最后,输出检测结果,并进行实验对比分析。实验结果表明,与传统模型相比,基于深度学习的网络安全检测模型的准确率更高。Traditional network information security detection methods can not meet the actual needs,so a network security management model based on deep learning is proposed.Firstly,build the protection framework of network platform to detect the security of network data;Secondly,a domain name detection model based on deep learning is constructed to analyze and detect the domain names in network behavior one by one;Finally,the test results are output and compared.The experimental results show that compared with the traditional model,the network security detection model based on deep learning has higher accuracy.

关 键 词：深度学习 网络安全 网络数据 计算机 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]