Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/181496
Title: | Anomaly based intrusion detection in 802 11 networks with optimal feature selection |
Researcher: | P, Kavitha |
Guide(s): | Usha, M |
Keywords: | Anomaly Detection Feature Intrusion Networks |
University: | Anna University |
Completed Date: | 2017 |
Abstract: | Abstract available |
Pagination: | xx, 134p. |
URI: | http://hdl.handle.net/10603/181496 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 24.51 kB | Adobe PDF | View/Open |
02_certificate.pdf | 608.55 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 15.5 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 4.57 kB | Adobe PDF | View/Open | |
05_table of content.pdf | 22.84 kB | Adobe PDF | View/Open | |
06_list of table.pdf | 9.76 kB | Adobe PDF | View/Open | |
07_list of figures.pdf | 9.97 kB | Adobe PDF | View/Open | |
08_list of abbreviation.pdf | 7.8 kB | Adobe PDF | View/Open | |
09_chapter 1.pdf | 550.2 kB | Adobe PDF | View/Open | |
10_chapter 2.pdf | 641.96 kB | Adobe PDF | View/Open | |
11_chapter 3.pdf | 4.13 MB | Adobe PDF | View/Open | |
12_chapter 4.pdf | 1.77 MB | Adobe PDF | View/Open | |
13_results and discussion.pdf | 639.4 kB | Adobe PDF | View/Open | |
16_list of publication.pdf | 262.68 kB | Adobe PDF | View/Open |
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