Cybersecurity in IoT Using Machine Learning

The Cybersecurity in IoT using Machine Learning project is a high-accuracy intrusion detection system designed to classify IoT cyberattacks such as DDoS, Port Scanning, MITM, and SQL Injection using advanced ML algorithms like XGBoost, Random Forest, Gradient Boosting, and SVM. With F1-scores reaching 1.0, this project is perfect for students and researchers seeking a real-world IoT cybersecurity solution with end-to-end documentation, dataset, report, PPT, and implementation notebook. Project Link: https://readyproj.com/projects-with-source-code/cybersecurity-in-iot-using-machine-learning-project/ ReadyProj Official Website: https://readyproj.com