基于HADOOP平台的网络安全技术研究

Data Mining Based on HADOOP Platform Study of Network Security Technology

随着互联网的飞速发展,网络安全问题变得越来越严重,网络安全威胁的种类也变得越来越多。以基于HADOOP的数据挖掘技术为研究对象,针对当前的网络安全系统不能完整反映网络安全系统行为特征的情况,提出了一种新型的网络安全系统入侵检测模型。实验表明,该模型能有效地在HADOOP平台上检测出各类网络安全隐患。

With the rapid development of the Internet, network security is becoming more and more serious,types of network security threats have become more and more. Through data mining techniques based on HADOOP as the object of study, in view of the current network security system cannot full reflect the behavioral characteristics of Internet security systems. Based on analysis of data mining technology based on HADOOP platform, has proposed a new model of network security intruder test systems.