基于云计算的海量网络流量数据分析研究  

Research and analysis of mass network traffic data based on Cloud Computing

作　　者：阎栋[1] 董媛[1] 

机构地区：[1]陕西财经职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2017年第9期32-34,共3页Automation & Instrumentation

摘　　要：随着当前海量网络流量数据的增长,加强对网络异常数据的分析,进而维护网络的信息安全,成为当前思考的重点,并使得入侵检测进入到人们的视野。针对当前入侵检测不能兼顾大规模网络流量分析的问题,引入云计算平台。通过多尺度主成分分析法对网络异常流量进行分析,并借助Map Reduce的并行处理优势,对大规模的网络流量进行并行计算处理,从而提高网络分析的效率。最后,通过原型系统对上述的改进方案进行试验,验证了该方案在网络流量异常方面检测的可行性与准确性。with the massive traffic data growth, strengthen the analysis of network anomaly data, and the maintenance of information security of the network, has become the focus of thinking, and makes the intrusion detection into people＇s vision. In view of the fact that the current intrusion detection can not take into account the large-scale network traffic analysis ,the cloud computing platform is introduced. Through muhi-scale principal component analysis to analyze the network traffic anomaly method, and with the advantage of Map parallel processing of Reduce, the network traffic for large-scale parallel processing, so as to improve the efficiency of network analysis. Finally, the prototype system is used to test the improved scheme, and verify the feasibility and accuracy of the proposed method in network traffic anomaly detection.

关 键 词：云计算 网络流量 入侵检测 MAP Reduce模型 试验验证 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]