Abstract
Phishing is a fraudulent attempt where attackers trick the victims into disclosing sensitive information under pretenses. This research project aims to develop a Google Chrome extension to detect phishing emails. We firstly collected a number of phishing email samples. Then we used text mining techniques to find out the words that are important in phishing emails. Next, we developed a classifier model that the Chrome extension will use to detect phishing emails using those words. The next step was to test the extension with phishing email samples and standard (non-phishing) email samples. After that, the evaluation metrics were collected. We found our extension was able to identify phishing emails and non-phishing emails with a relatively high degree of accuracy.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 13-22 |
| Number of pages | 10 |
| Journal | EPiC Series in Computing |
| Volume | 77 |
| DOIs | |
| State | Published - 2021 |
| Event | 30th International Conference on Software Engineering and Data Engineering, SEDE 2021, co-located with the 34th International Conference on Computer Applications in Industry and Engineering, CAINE 2021 - Virtual, Online Duration: Oct 11 2021 → Oct 13 2021 |
Bibliographical note
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