Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519985
Title: | Performance analysis on machine learning and deep learning techniques for big data phishing attack detection in websites |
Researcher: | Sakunthala Jenni, R |
Guide(s): | Shankar, S |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology Social Engineering Susceptible data Technical Work |
University: | Anna University |
Completed Date: | 2022 |
Abstract: | The internet has broadly expanded web pages that consist of both social engineering and technical work. The website shows the phish web pages and the phish website detection obtains the susceptible data. the entire social engineering and technical work is considered to detect phish websites. newline |
Pagination: | xviii, 168p. |
URI: | http://hdl.handle.net/10603/519985 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 82.68 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2 MB | Adobe PDF | View/Open | |
03_contents.pdf | 597.07 kB | Adobe PDF | View/Open | |
04_abstracts.pdf | 1.09 MB | Adobe PDF | View/Open | |
05_chapter1.pdf | 5.39 MB | Adobe PDF | View/Open | |
06_chapter2.pdf | 7.95 MB | Adobe PDF | View/Open | |
07_chapter3.pdf | 6.58 MB | Adobe PDF | View/Open | |
08_chapter4.pdf | 6.61 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 7.13 MB | Adobe PDF | View/Open | |
10_chapter6.pdf | 5.36 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 3.83 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.27 MB | Adobe PDF | View/Open |
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