Developing a Google Chrome Extension for Detecting Phishing Emails

10 pages•Published: October 4, 2021

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.

Keyphrases: chrome extension, classifier, detection, javascript, phishing emails, text mining

In: Frederick Harris, Rui Wu and Alex Redei (editors). Proceedings of ISCA 30th International Conference on Software Engineering and Data Engineering, vol 77, pages 13-22.

Links:	https://easychair.org/publications/paper/RJLM
	https://doi.org/10.29007/hwp7

BibTeX entry

@inproceedings{SEDE2021:Developing_Google_Chrome_Extension,
  author    = {Hongkai Chen and Mohammad Hossain},
  title     = {Developing a Google Chrome Extension for Detecting Phishing Emails},
  booktitle = {Proceedings of ISCA 30th International Conference on Software Engineering and Data Engineering},
  editor    = {Frederick Harris and Rui Wu and Alex Redei},
  series    = {EPiC Series in Computing},
  volume    = {77},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/RJLM},
  doi       = {10.29007/hwp7},
  pages     = {13-22},
  year      = {2021}}

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