A rule based approach for enhanced intrusion detection system using machine learning techniques

dc.contributor.guide	Anand Chandulal, J and Rao, K Nageswara
dc.coverage.spatial	Computer science and engineering
dc.creator.researcher	Akbar, Shaik
dc.date.accessioned	2017-02-16T04:45:56Z
dc.date.available	2017-02-16T04:45:56Z
dc.date.awarded	n.d.
dc.date.completed	2013
dc.date.registered	n.d.
dc.description.abstract	None
dc.description.note	Appendix p.121-132 and Publication p.135 and References p.136
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	136p.
dc.identifier.uri	http://hdl.handle.net/10603/134619
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Visakhapatnam
dc.publisher.university	GITAM University
dc.relation	-
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Enhanced
dc.subject.keyword	Learning techniques
dc.title	A rule based approach for enhanced intrusion detection system using machine learning techniques
dc.title.alternative	-
dc.type.degree	Ph.D.