Using Artificial Immune System on Implementation of Intrusion Detection Systems

被引：4
|
作者：
EshghiShargh, Aref [1 ]
机构：
[1] Univ Melbourne, Melbourne, Vic, Australia
来源：
2009 THIRD UKSIM EUROPEAN SYMPOSIUM ON COMPUTER MODELING AND SIMULATION (EMS 2009) | 2009年
关键词：
Intrusion Detection Systems; IDS; Artificial Immune System; AIS; Computer Network Security; Security; Danger Theory; MODEL;
D O I：
10.1109/EMS.2009.45
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Security is vital to computer networks. IDSs (Intrusion Detection Systems) are one of the important building blocks of a secure, reliable network and are used widely along with the other security programs and concepts. As the time passes, their importance becomes clearer. Recently, there have been some interesting researches on biological immune systems as a model for intrusion detection. In this article we describe IDS, including an overview of its types, techniques, and explore different IDS designs based on biologically inspired artificial intelligence concept: Artificial Immune System (AIS), which can be a future direction in IDS designing field. We also discuss some newer topics in this field like Danger Theory.
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页码：164 / 168
页数：5
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