1. Shodhganga@INFLIBNET
  2. Vellore Institute of Technology, Vellore
  3. School of Computing Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/429280
Title: A Study on Intrusion Detection Approaches using Hybrid Feature Selection Algorithms over IoT Networks
Researcher: Phalguna Krishna E S
Guide(s): Arunkumar T
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: Vellore Institute of Technology (VIT) University
Completed Date: 2022
Abstract: newline
Pagination: 1-134
URI: http://hdl.handle.net/10603/429280
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File134.77 kBAdobe PDFView/Open
02_prelim page.pdf723.11 kBAdobe PDFView/Open
03_table of contents.pdf25.09 kBAdobe PDFView/Open
04_abstract.pdf26.17 kBAdobe PDFView/Open
05_chapter 1.pdf1.59 MBAdobe PDFView/Open
06_chapter 2.pdf1.65 MBAdobe PDFView/Open
07_chapter 3.pdf1.01 MBAdobe PDFView/Open
08_chapter 4.pdf1.77 MBAdobe PDFView/Open
09_chapter 5.pdf1.51 MBAdobe PDFView/Open
10_chapter 6.pdf1.04 MBAdobe PDFView/Open
11_chapter 7.pdf70.11 kBAdobe PDFView/Open
12_annexures.pdf907.07 kBAdobe PDFView/Open
80_recommendation.pdf182.74 kBAdobe PDFView/Open
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