An intelligent feature selection and classification techniques for effective intrusion detection

dc.contributor.guide	Shunmuganathan, K L
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	V, Brindha Devi
dc.date.accessioned	2019-03-14T10:03:20Z
dc.date.available	2019-03-14T10:03:20Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xviii, 155p.
dc.identifier.uri	http://hdl.handle.net/10603/231810
dc.language	Others
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	140-154
dc.rights	university
dc.source.university	University
dc.subject.keyword	Detection
dc.subject.keyword	Genetic
dc.subject.keyword	Intelligent
dc.subject.keyword	Intrusion
dc.subject.keyword	Neural
dc.title	An intelligent feature selection and classification techniques for effective intrusion detection
dc.title.alternative
dc.type.degree	Ph.D.