一种面向大数据主动防御的低损耗数据采集方法  

A Low-loss Data Acquisition Method for Big Data Active 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4期962-966,共5页Communications Technology

摘　　要：面向大数据全生命周期安全的主动防御是目前大数据安全研究的热点之一。在分析大数据主动防御系统对数据采集需求的基础上,提出了一种面向大数据主动防御的低损耗数据采集方法。该方法基于虚拟机内省技术,结合了带内采集和带外采集的优点,并对数据采集进行了优化设计,实现了一种高效低损的数据采集能力。Active defense for the whole life-cycle security of big data is one of the most important research areas of big data security.Based on the analysis of data acquisition requirements of big data active defense system,this paper proposes a low-loss data acquisition method for big data active defense.Based on the virtual machine introspection,the proposed method combines the advantages of in-band and out-of-band acquisition.Finally,a high-efficiency and low-loss data acquisition capability is implemented by optimizing design for data acquisition.

关 键 词：大数据 主动防御 数据采集 低损耗 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]