1. Shodhganga@INFLIBNET
  2. Mizoram University
  3. Department of Mathematics and Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/351422
Title: Intrusion Detection System Using Artificial Neural Network and Support Vector Machine A Comparative Study
Researcher: Mishra,Aishwarya
Guide(s): Jay Prakash Singh
Keywords: Mathematics
Physical Sciences
University: Mizoram University
Completed Date: 2021
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/351422
Appears in Departments:Department of Mathematics and Computer Science

Files in This Item:
File Description SizeFormat 
10. appendix-i & 2.pdfAttached File95.84 kBAdobe PDFView/Open
11. appendix-3 a list of dreadful latest virus list - chapter-2.pdf101.18 kBAdobe PDFView/Open
12. bibliography.pdf290.64 kBAdobe PDFView/Open
13. biodata.pdf44.31 kBAdobe PDFView/Open
14. particulars of the candidate.pdf11.18 kBAdobe PDFView/Open
15 certificate of head of department.pdf132.62 kBAdobe PDFView/Open
1. title page.pdf23.43 kBAdobe PDFView/Open
2. inner page.pdf9.34 kBAdobe PDFView/Open
3. preliminary.pdf288.77 kBAdobe PDFView/Open
4. chapter-1_introduction.pdf541.26 kBAdobe PDFView/Open
5. chapter-2 application of ann and svm in ids.pdf965.91 kBAdobe PDFView/Open
6. chapter-3 experiment using ann.pdf227.94 kBAdobe PDFView/Open
7. chapter-4 experiment using svm.pdf965.12 kBAdobe PDFView/Open
80_recommendation.pdf23.43 kBAdobe PDFView/Open
8. chapter-5- performance comparision.pdf573.06 kBAdobe PDFView/Open
9. chapter-6 summary and conclusions.pdf156.24 kBAdobe PDFView/Open
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