Study on Intrusion Detection Systems Using Genetic Algorithm

dc.contributor.author	Rafsanjani, Marjan Kuchaki
dc.date.accessioned	2016-01-06T11:30:54Z
dc.date.available	2016-01-06T11:30:54Z
dc.date.issued	2014
dc.identifier.issn	1221-454X
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3791
dc.description	The Annals of "Dunarea de Jos" University of Galati	en_US
dc.description.abstract	With the extension in computer networks and appearing new attacks, seems that security is more necessary than before. Intrusion Detection System (IDS) is one of the most important methods to develop security in computer networks. There are different methods for IDS improvement. Machine learning is one of these methods and an approach for improving IDS with machine learning using Genetic Algorithm (GA).	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University og Galati	en_US
dc.subject	Computer networks	en_US
dc.subject	Intrusion Detection System	en_US
dc.subject	Machine learning	en_US
dc.subject	Genetic Algorithm	en_US
dc.title	Study on Intrusion Detection Systems Using Genetic Algorithm	en_US
dc.type	Article	en_US