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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Classification of Artificial Intelligence IDS

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Author N.Ugtakhbayar , Sh.Sodbileg
ISSN 2079-8407
On Pages 529-532
Volume No. 2
Issue No. 10
Issue Date October 01, 2011
Publishing Date October 01, 2011
Keywords Classification, Decision Tree, Intelligence IDS, IDS


Abstract

Many methods have been developed to secure the network infrastructure and communication over the Internet. Intrusion detection is relatively new addition to such techniques. Intrusion detection systems (IDSs) are used to find out if someone has intrusion into or is trying to get in the network. One big problem is amount of Intrusion which is increasing day by day. We need to know about network attack information using IDS, then analysing the effect. Due to the nature of IDSs which are solely signature based, every new intrusions cannot be detected; so it is important to introduce artificial intelligence (AI) methods / techniques in in IDS. Introduction of AI necessitates the importance of normalization in intrusions. This work is focused on classification of AI based IDS techniques which will help better design intrusion detection systems in the future. We have also proposed a support vector machine for IDS to detect Smurf attack with much reliable accuracy.  

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