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

作　　者：许杰[1] 张锋军[1] 陈捷[1] 李庆华[1] 牛作元[1] 石凯 XU Jie;ZHANG Fengjun;CHEN Jie;LI Qinghua;NIU Zuoyuan;SHI Kai(No.30 Institute of CETC,Chengdu Sichuan 610041,China)

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041

出　　处：《通信技术》2021年第11期2551-2556,共6页Communications Technology

摘　　要：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.

关 键 词：大数据 大数据安全 安全威胁 防御模型 动态防御 主动防御 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]