文献类型：期刊文献

中文题名：基于大数据的计算机网络安全防御系统研究

英文题名：Research on Computer Network Security Defense System Based on Big Data

作者：贾觐[1]

第一作者：贾觐

机构：[1]河南财经政法大学网络信息服务中心,河南郑州450000

第一机构：河南财经政法大学

年份：2021

卷号：33

期号：2

起止页码：198-199

中文期刊名：信息与电脑

外文期刊名：China Computer & Communication

语种：中文

中文关键词：大数据;网络安全;防御系统;入侵防御

外文关键词：big data;network security;defense system;intrusion prevention

摘要：为提升大数据网络环境安全防御效果,本文设计了基于大数据的计算机网络安全防御系统。首先,设置双网卡结构路由网关对硬盘进行加密处理;其次,通过大数据分析对漏洞进行检测,利用攻击特征识别恶意攻击;最后,建立动态网络安全防御模块,提供虚假服务与攻击者进行交互。实验结果证明,本文设计的系统对漏洞攻击的漏报率和误报率较低,可有效减少攻击者的入侵行为。
In order to improve the security defense effect of big data network environment, this paper designs a computer network security defense system based on big data. Firstly, the dual network card structure routing gateway is set to encrypt the hard disk;secondly, the vulnerability is detected through big data analysis, and malicious attacks are identified by using attack characteristics;finally, the dynamic network security defense module is established to provide false services to interact with attackers. The experimental results show that the system designed in this paper has low false alarm rate and false alarm rate, which can effectively reduce the intrusion behavior of attackers.