4G时代基于网络流量大数据分析的安全预警研究

文章介绍了一种基于流量数据分析检测安全攻击并形成预警的方案。通过建立一整套标准化的大数据采集、收集、存储、分析方法，实现流量数据采集、收集、存储自动化，实现对网站业务的攻击、未知威胁构建基于分类的异常检测；通过对内部支撑网进行资产识别、基于策略配置的违规访问发现、基于大数据分析统计发现异常流量，形成对安全事件监测和预警方案。

Security early warning research based on network flow mega data analysis in 4G era

This paper introduces a scheme of detecting security attacks based on net flow mega data analysis and warning. Based on the traffic data, a set of standardized large data collection, storage and analysis specifications are implemented to realize the automatic collection and storage of traffic data. The anomaly detection model based on traffic classification is constructed based on the traffic data and unknown threats. The security monitoring and warning scheme is achieved through the internal support network for asset identification, policy-based configuration for discovering the violation of access and mega data statistical analysis for finding the abnormal traffic.