1. Shodhganga@INFLIBNET
  2. Acharya Nagarjuna University
  3. Department of Computer Science & Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/71391
Title: Feature selection techniques for enhancing intrusion detection system using support vector machines
Researcher: Pullagur, Indira Priyadarsini
Guide(s): Ramesh Babu, I
Keywords: Detection
Feature
Intrusion
Techniques
University: Acharya Nagarjuna University
Completed Date: 2014
Abstract: Abstract available
Pagination: 157p.
URI: http://hdl.handle.net/10603/71391
Appears in Departments:Department of Computer Science & Engineering

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01_title.pdfAttached File61.58 kBAdobe PDFView/Open
02_dedication.pdf20.87 kBAdobe PDFView/Open
03_certificate.pdf77.62 kBAdobe PDFView/Open
04_declaration.pdf155.78 kBAdobe PDFView/Open
05_acknowledgements.pdf29.62 kBAdobe PDFView/Open
06_abstract.pdf30.52 kBAdobe PDFView/Open
07_contents.pdf62.39 kBAdobe PDFView/Open
08_tables.pdf29.64 kBAdobe PDFView/Open
09_figures.pdf30.54 kBAdobe PDFView/Open
10_abbrevation.pdf30.08 kBAdobe PDFView/Open
11_chapter 1.pdf368.14 kBAdobe PDFView/Open
12_chapter 2.pdf387.56 kBAdobe PDFView/Open
13_chapter 3.pdf665.86 kBAdobe PDFView/Open
14_chapter 4.pdf571.02 kBAdobe PDFView/Open
15_chapter 5.pdf488.45 kBAdobe PDFView/Open
16_chapter 6.pdf495.63 kBAdobe PDFView/Open
17_chapter 7.pdf369.1 kBAdobe PDFView/Open
18_chapter 8.pdf140.21 kBAdobe PDFView/Open
19_references.pdf172.6 kBAdobe PDFView/Open
20_publication.pdf127.37 kBAdobe PDFView/Open
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