基于大数据的网络异常流量检测综述

Survey of Network Anomaly Traffic Detection Based on Large Data

以大数据处理方式来做流量异常检测这一问题出发,通过近五年来的科研文献调查研究大数据给流量异常检测带来的变化。包含基于大数据的网络异常流量检测架构,针对海量流量数据异常检测的有效算法,基于大数据网络异常流量检测仿真实验平台和数据集。

The author examines the variation in traffic anomaly detection caused by big data through referring to scientific literature over the five years, which is founded upon the issue of traffic anomaly detection via big data. The study includes the framework of network traffic anomaly detection with the foundation of big data, the efficient algorithm targeted at the anomaly detection of plenty of traffic data, the simulated experimental platform on the fundamental elements of traffic anomaly detection via big data and the data set.