Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/504569
Title: | Deep Learning Based Analysis of the Malicious Software Detection Using URL API Intensity Feature Selection for Improving Host Security |
Researcher: | Lavanya B |
Guide(s): | Shanthi C |
Keywords: | Computer Science Computer Science Cybernetics Engineering and Technology |
University: | Vels University |
Completed Date: | 2022 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/504569 |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01. title.pdf | Attached File | 52.67 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 240.88 kB | Adobe PDF | View/Open | |
03_content.pdf | 16.82 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 10.21 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 433.01 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 278.06 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 223.23 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 101.84 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 165.77 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 2.92 MB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 110.21 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 10.43 kB | Adobe PDF | View/Open |
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