摘要
针对Hive组件的深度审计方法,在现网中结合DPI技术,深度分析Hive组件的交互方式和交互内容,设置多维度的审计分析规则,重塑组件行为、流量和内容侧的交互行为,挖掘大数据组件运行的安全风险。大数据平台Hive组件深度审计方法结合分布式计算能力,能满足现网超大规模流量的分析需求,可适用于数据访问风险监测、数据共享防泄露等场景,实现对Hive组件的深度审计功能。
Based on the deep audit method of Hive components,combined with DPI technology in the current network the interactive mode and content of Hive components are analyzed in depth.The multi-dimensional audit analysis rules is set to reshape component behavior,traffic and content side interaction,and dig the risks of big data component operation.Combined with distributed computing capacity,the method can meet the analysis requirement of super-large-scale traffic in the existing network,and can be applied to data access risk monitoring,data sharing and anti-disclosure scenarios,and realize the deep audit function of Hive components.
作者
冀文
田峰
康乾
叶荣伟
Ji Wen;Tian Feng;Kang Qian;Ye Rongwei(China Mobile Information Technology Co.,Ltd.,Beijing 100032,China;China Mobile Hangzhou Research&Development Center,Hangzhou 310000,China)
出处
《邮电设计技术》
2019年第4期30-34,共5页
Designing Techniques of Posts and Telecommunications
