大数据网络安全态势感知中数据融合技术研究

Research on Data Fusion Technology in Big Data Network Security Situational Awareness

随着科学技术的发展,网络时代对我们的生产生活影响越来越大,网络信息技术在给人们带来生产、生活便捷的同时,网络安全问题也在逐步升级,传统的网络安全防护技术措施显然已不能较好地满足新时期的网络安全工作需求。在信息科技的推动下,安全态势感知技术能对存在于网络中的安全数据信息进行有效的采集、分析、存储以及挖掘,数据融合技术可以处理所搜集的网络安全数据,这两种技术的结合能极大地增强安全态势感知实效,有效保障信息的安全,这对网络发展有非常重要的现实意义。

With the development of science and technology,the network era has an increasingly greater impact on our production and life.While network information technology brings convenience to people in production and life,network security issues are gradually escalating.Traditional network security protection technology measures obviously has not been able to better meet the needs of network security work in the new era.Driven by information technology,security situational awareness technology can effectively collect,analyze,store and mine secure data information existing in the network,Data fusion technology can process collected network security data.The combination of these two technologies can greatly enhance the effectiveness of security situation awareness and effectively protect the security of information,which has very important practical significance for network development.