摘要
大数据驱动下的主动防御网络,可以更加精准地呈现网络安全态势,及时对网络风险事件进行预警,并通过对用户、终端、程序等网络内容的集成剖析,预先定义攻击类型,实现实时预警,完成网络的主动防御。文章以大数据驱动下的主动防御网络为对象,阐述了安全性评估技术的应用方案及仿真结果,希望为大数据时代网络的安全、平稳运行提供参考。
The proactive defense network driven by big data can more accurately present the network security situation,provide early warning of network risk events in time,and pre-define attack types through integrated analysis of network content such as users,terminals,and programs to achieve real-time Early warning,complete the active defense of the network.The article takes the active defense network driven by big data as the object,expounds the application plan and simulation results of security assessment technology,hoping to provide reference for the safe and stable operation of the network in the era of big data.
作者
张弛
Zhang Chi(Migu Music Co.,LTD.,Chengdu Sichuan,610000)
出处
《电子测试》
2022年第9期70-72,共3页
Electronic Test
关键词
大数据
主动防御网络
安全性评估
Big data
Active defense network
Safety assessment
