Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3674
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShivhare, Radhika-
dc.date.accessioned2022-02-04T08:30:05Z-
dc.date.available2022-02-04T08:30:05Z-
dc.date.issued2015-05-
dc.identifier.citationUnder the guidance of Dr. Ajay Prasad, Assistant Professor, UPESen_US
dc.identifier.urihttp://hdl.handle.net/123456789/3674-
dc.descriptionSubmitted in partial fulfillment of the requirements for the degree of M. Tech in Computer Science & Engineering with specialization in Artificial Intelligence and Artificial Neural Networken_US
dc.language.isoenen_US
dc.publisherDepartment of Computer Science & Engineering, UPES, Dehradunen_US
dc.subjectDissertationen_US
dc.subjectComputer Science Engineeringen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectArtificial Neural Networken_US
dc.subjectIntrusion Detectionen_US
dc.subjectData Miningen_US
dc.titlePerformance analysis for intrusion detection using data mining techniquesen_US
dc.typeThesisen_US
Appears in Collections:Post Graduate

Files in This Item:
File Description SizeFormat 
DI3223.pdf4.29 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.