基于大数据的入侵检测技术研究  

Research on Intrusion Detection Technology Based on large data

作　　者：李小敏[1] 滑斌[1] 薛栋 高玉琢[1] LI Xiao-min1, HUA Bin1, XUE Dong2, GAO Yu-zhuo1 （1.Ningxia University ,Yinchuan 750021, China; 2.Guodian Zheneng Ningdong Power Generation CO. LTD., Yinchuan 750021, China）

机构地区：[1]宁夏大学,宁夏银川750021 [2]国电浙能宁东发电有限公司,宁夏银川750021

出　　处：《电脑知识与技术》2017年第7期16-18,共3页Computer Knowledge and Technology

摘　　要：随着物联网、多媒体、云计算等技术的高速发展,数据体量骤然增多,大数据技术顺应时代发展趋势而蓬勃兴起。然而,数据的大量汇集意味着攻击者更容易找到攻击对象,现阶段已有的网络安全手段已经不能满足大数据时代的网络安全的实际要求。该文主要以大数据技术发展现状为背景,分析大数据时代下网络安全存在的隐患和问题,提出了基于大数据的分布式入侵检测技术以及体系架构,总结了基于大数据的入侵检测系统的优点。With the rapid development of multimedia, networking, cloud computing technology, the data volume suddenly in- creased, big data technology development trend of the times and the booming. However, a large collection of data means that the attacker is easier to find the object of attack, existing network security methods have been unable to meet the actual requirements of network security in the era of big data. This paper considers the present situation of the development of big data technology as the background, analysis of risks and problems of network security under the age of big data, big data presents a distributed intru- sion detection technology and system architecture Based on the summary of advantages of intrusion detection system Based on large data.

关 键 词：大数据 网络安全 入侵检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]