Leveraging Advanced Machine Learning Techniques for Phishing Website Detection

Authors : Vaishali Bhargava; Sharvan Kumar Garg

Volume/Issue : Volume 8 - 2023, Issue 9 - September

Google Scholar : https://tinyurl.com/25f6xzne

Scribd : https://tinyurl.com/3pyp984p

DOI : https://doi.org/10.5281/zenodo.8437510

Phishing attacks, which target users through fraudulent websites and emails to steal critical information, continue to pose a significant danger to internet security. Traditional ways of detecting phishing websites frequently fall behind the shifting tactics used by fraudsters. Machine learning approaches are being used as a powerful tool for improving phishing detection capabilities in this kind of context. The current study investigates a novel Machine Learning Model for Detecting Phishing Websites that employ advanced algorithms and feature selection methodologies.Through a rigorous experimental approach, the study evaluates their performance using key metrics including accuracy, precision, and recall.Conversely, when the data was split 50-50, Random Forest yielded better results.

Keywords : Phishing; Classification; Decision Tree; Machine Learning; Cyber Security.


Paper Submission Last Date
31 - December - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.