Intelligent Hybrid ML Framework β IoT Botnet Detection
Capstone ProjectDeveloped a hybrid machine learning framework combining multiple algorithms to detect and mitigate botnet attacks in IoT environments. Performed feature extraction and preprocessing on IoT network datasets, then evaluated using accuracy, precision, recall, and F1-score β achieving high detection rates with reduced false positives.