Projects
A selection of projects that I'm not too ashamed of
Jamming Detection and Classification in OFDM-based UAVs
Built for a social impact hackathon. A machine learning approach was proposed to detect and classify jamming attacks against orthogonal frequency division multiplexing (OFDM) receivers with applications to unmanned aerial vehicles (UAVs).Four types of jamming attacks were launched and investigated using software-defined radio (SDR).Spectrogram images were collected to develop four Deep Learning models resulted an accuracy of 99.79% for classification.Numeric features were collected to develop six Machine Learning models with the highest accuracy of 92.20% for classification.
