A Lightweight Edge-Computing Framework for IoT Attack Detection Under Resource Constraints
This preliminary research investigates machine learning approaches for detecting IoT network attacks under resource constraints, focusing on distinguishing benign traffic from UDP flood attack traffic. The study evaluates Decision Tree, Logistic Regression, and Random Forest classifiers using network traffic data. It a...