基于大数据的安全管理平台设计与实现

Design and Implementation of Security Management Platform Based on Big Data

在传统的安全管理中,由于设备多厂家、采集日志单一、留存时间短等原由,安全监管人员往往无法得知各联网信息系统的安全水平。采用基于大数据的安全管理平台将有效解决该类问题,便于安全管理员及时掌握安全运行情况、安全事件及风险预警,从而使安全决策者能及时调整安全防护策略,制定针对性的安全预案,恰当地进行安全优化,及时地部署安全措施,消除网络和系统中的问题和安全隐患。

In the traditional security management,because of the fact that the equipment is multi-manufacturer,the collection log is single,the retention time is short,the security supervisor is often unable to know the security level of each network information system. The security management platform based on big data will effectively solve this kind of problems,and it is convenient for the security administrators to grasp the safety operation,security events and risk early warning in time,so that the security policy makers can adjust security protection strategy in time,make corresponding security plans,appropriately optimize safety and deploy the security in time,to eliminate network and system of problems and potential safety hazard.