I have created a classifier to classify website, whether it is benign or Malicious with using the CRISP DM concepts in it. Additionally I wrote blog on it https://medium.com/@prashantjadiya/process-of-classifying-malicious-and-benign-websites-815cc2b42435.
Project Motivation: It is better to know about site is very beneficial for us before visiting. And looking into the security issues it is immense to know. That's why I have created this project.
Files: Malicious website classification.ipynb -> notebook that consist the code dataset.csv -> dataset file is required to run the notebook
Results: I got highest accuracy with Random forest algorithm with 95.29%.
Required installtions:
Scikit-learn Pandas Numpy