面向动态防御的大数据安全技术研究

Research on Big Data Security Technology for Dynamic Defense

大数据环境下,海量数据呈现出主体多样化、处理活动复杂化的特点,数据除了面临传统的安全威胁外,更要面临诸多新型安全威胁,传统的安全手段及体系已不能有效应对大数据环境下的安全威胁。针对大数据的流转复杂、关联融合、蕴含价值等特点,提出了面向动态防御的大数据防御模型。此外,研究了相关的大数据安全技术,这些技术能够构建大数据安全动态防御体系,提供动态防御能力,促进大数据安全全面向动态、主动防御方向转变。

In the environment of big data,massive data presents the characteristics of diversified subjects and complicated processing activities.In addition to traditional security threats,it is also necessary to face many new security threats.Traditional security methods and systems can no longer effectively deal with security threats in the big data environment.In view of the complex circulation,correlation and integration,and the value of the massive data,this paper proposes a dynamic defense model for big data,and researches related big data security techniques,these technologies can build big data security dynamic defense system,which can provide dynamic defense capabilities and promote the comprehensive transformation of big data security to dynamic and active defense.