南京理工大学学报（自然科学版）2017，Vol.41Issue(3)：294-300,7.DOI:10.14177/j.cnki.32-1397n.2017.41.03.004
基于大数据流的网络流量检测与分析
Network traffic detection and analysis based on big data flow
摘要
Abstract
A new network traffic detection and analysis system is proposed for network traffic anomaly detection problem.A distributed stream processing mechanism is used to achieve a real-time detection ability.Network data distributed storage is achieved and a network protocol feature library is trained by using the distributed storage and the data computational analysis ability of a big data platform.The network system of detection and analysis gains a good performance in the business of marketing,operation and dispatching in Jiangsu Electric Power Company,and provides a good support for the analysis of various business scenarios.关键词
数据包分析/异常检测/大数据流/网络流量检测/分布式流式处理机制/大数据平台/分布式存储Key words
data packet analysis/anomaly detection/big data flow/network traffic detection/distributed stream processing mechanism/big data platform/distributed storage分类
信息技术与安全科学引用本文复制引用
程伟华,赵军,吴鹏..基于大数据流的网络流量检测与分析[J].南京理工大学学报（自然科学版）,2017,41(3):294-300,7.基金项目
国网江苏省电力公司科技项目(SGJSXTOOYJYJ1588925) （SGJSXTOOYJYJ1588925）
