文章基本信息

标题：Survey on Threat management system
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作者：Aniket Tare ; Mrunal Funde ; Shraddha zade 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：3
页码：10815-10818
出版社：IJECS
摘要：With the rapid change and development in the sector of Information Technology and in Network technologies; the value of dataand information is also increased. Today lot of valuable data is generated using many computers based application and stored back to thecompany database. But unfortunately, the threat to the same data is also increasing rapidly. So, development of a proper IntrusionDetection System which provides a right alarm is a hot topic today. There are many areas which helps to build such devices and softwareapplications like Data mining techniques, network protocol system, decision tree, clustering, SNORT, Genetic Algorithm etc. This paperpresents a technique of applying evolutionary algorithm i.e. Genetic Algorithm to Intrusion Detection System. It also provides a brief and how toimplement it in real IDS
关键词：Data mining; DDOS; Evolutionary algorithm Genetic Algorithm; Intrusion; IDS; SNORT; Threats