Malicious URL Detection Using Machine Learning in Python | NLP

In this video, we have demonstrated a machine learning approach to detect Malicious URLs. We have created 22 lexical features from raw URLs and trained three machine learning models XG Boost, Light GBM, and Random forest. Further, we have compared the performance of the 3 machine learning models and also plotted the feature importance of Random forest we found that hostname_length, count_dir, count-www, fd_length, and url_length are the top 5 features for detecting the malicious URLs.

Full write-up with code: https://wisdomml.in/malicious-url-det...

Git repo: https://github.com/wisdomml2020/Malic...

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