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Phishing-Website-Detection-using-Machine-Learning-Algorithms

Content

Data is containg 5,49,346 entries.

  • There are two columns.

  • Label column is prediction col which has 2 categories

    • A. Good - which means the URLs is not containing malicious stuff and this site is not a Phishing Site.

    • B. Bad - which means the URLs contains malicious stuff and this site is a Phishing Site.

  • There is no missing value in the dataset.

Source

This dataset is obtained from Kaggle

(https://www.kaggle.com/datasets/taruntiwarihp/phishing-site-urls)

Motivation

I naturally gravitate toward projects of this nature because I am interested in cybersecurity.

Each student chose a topic that interests them personally when our data science course coordinator instructed us to produce a project utilising machine learning methods.

So I started looking for tough assignments that were related to cybersecurity so that I could learn new things and subjects.

When I first learned about this phishing website detection, I made the decision to do this project in order to learn more about phishing websites and social engineering.