Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/40737
Title: | Investigation on machine learning algorithms for network intrusion detection system |
Researcher: | Jaiganesh, V |
Guide(s): | Sumathi, P |
Keywords: | algorithms intrusion Investigation machine |
Upload Date: | 9-May-2015 |
University: | Manonmaniam Sundaranar University |
Completed Date: | July 2014 |
Abstract: | The network security is the major research issue in the field of computer science newlineResearch Network security industry is evolving for the past several decades It adapts and newlineresponds to the persistent pressure given by the cyber criminals Due to advancements in newlineInternet technologies and the number of network attacks network intrusion detection has newlinebecome significant research issue This research focuses investigation on machine newlinelearning algorithms for networks intrusion detection system newline newline |
Pagination: | x, 165p. |
URI: | http://hdl.handle.net/10603/40737 |
Appears in Departments: | Department of Computer Science & Engg. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 61.56 kB | Adobe PDF | View/Open |
02_certificate.pdf | 17.84 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 18.19 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 21.12 kB | Adobe PDF | View/Open | |
05_content.pdf | 41.26 kB | Adobe PDF | View/Open | |
06_chapter 1.pdf | 731.87 kB | Adobe PDF | View/Open | |
07_chapter 2.pdf | 134.65 kB | Adobe PDF | View/Open | |
08_chapter 3.pdf | 344.5 kB | Adobe PDF | View/Open | |
09_chapter 4.pdf | 272.59 kB | Adobe PDF | View/Open | |
10_chapter 5.pdf | 346.71 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 171.77 kB | Adobe PDF | View/Open | |
12_chapter 7.pdf | 138.15 kB | Adobe PDF | View/Open | |
13_chapter 8.pdf | 15.71 kB | Adobe PDF | View/Open | |
14_chapter 9.pdf | 19.9 kB | Adobe PDF | View/Open | |
15_reference.pdf | 83.81 kB | Adobe PDF | View/Open | |
16_anner.pdf | 31.97 kB | Adobe PDF | View/Open | |
17_journal.pdf | 1.47 MB | Adobe PDF | View/Open |
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