基于大数据分析的网络安全防御技术研究

Research on Network Security Defense Technology Based on Big Data Analysis

目前,网络安全防御技术功能单一,防御能力低,为此提出了研究基于大数据分析的网络安全防御技术。通过建立感知数据源,确定要采集的数据源,采集防御链条下的终端、边界、服务和应用等各类安全数据,并收集威胁网络安全的数据,形成网络访问行为数据摘要。在此基础上,引入数据检测技术,保障传输的安全性,达到维护网络安全的目的,同时,利用大数据的分析结果,根据攻击者的行为数据进行监测并提前报警,完成基于大数据分析的网络安全防御技术设计。

At present,network security defense technology has a single function and low defense capability.Therefore,a network security defense technology based on large data analysis is proposed.By establishing perceptual data sources,determining the data sources to be collected,collecting various security data such as terminals,boundaries,services and applications under the defense chain,and collecting data threatening network security to form a summary of network access behavior data.On this basis,data detection technology is introduced to ensure the security of transmission and achieve the purpose of maintaining network security.At the same time,the analysis results of large data are used to monitor and alarm in advance according to the attacker’s behavior data,and the network security defense technology design based on large data analysis is completed.