/Phishing-URL-Detection

To classify benign/malicious URLs. Extract features like the number of (dots, subdirectories, subdomains), presence of (hyphen, at, double slash), and URL length. Applied Pruned Decision trees, Naïve Bayes, SVM, and Neural Networks (3 layered with Back Propagation) and achieved 93% accuracy for Pruned Decision trees.

Primary LanguageJupyter Notebook

Phishing-URL-Detection

To classify benign/malicious URLs. Extract features like the number of (dots, subdirectories, subdomains), presence of (hyphen, at, double slash), and URL length. Applied Pruned Decision trees, Naïve Bayes, SVM, and Neural Networks (3 layered with Back Propagation) and achieved 93% accuracy for Pruned Decision trees.