IoT Security Project – Bot-IoT Dataset
تفاصيل العمل
End-to-End ML Pipeline for IoT Network Attack Detection Developed ML models to detect and classify malicious network traffic (DDoS, DoS, Reconnaissance) using Bot-IoT dataset. Ensured real-world reliability by eliminating data leakage and sensitive features (IP, MAC, timestamps). Applied advanced feature engineering, data transformation, and outlier handling. Tested XGBoost and Random Forest models achieving 99.71% and 99.68% accuracy respectively. Skills Highlighted: Python, Pandas, NumPy, Scikit-learn Data preprocessing, feature engineering, model optimization
بطاقة العمل
طلب عمل مماثل
