Our project, "A Secure Warning Platform Against Web Attacks Using Machine Learning," employs advanced algorithms such as Decision Tree, Random Forest, Extra Trees, Logistic Regression, XGBoost, CATBoost, and K-Nearest Neighbors to detect web attacks including Phishing, Denial of Service (DoS), and Cross-Site Scripting (XSS). Utilizing the 'URL Dataset' for Phishing detection and 'NSL KDD Dataset' for DoS detection, the platform analyzes input data through feature distribution techniques to determine if a connection or input is authorized.
https://drive.google.com/file/d/1psFPZFQqGyN5-skuh4GhycZNaClTY3wV/view?usp=sharing
