This project will investigate counter-unmanned aerial system (C-UAS) technologies for the detection and mitigation of malicious drones. With the increasing accessibility of small UAVs, there is a growing need for effective technical solutions to identify and neutralize unauthorized aerial threats. The project will explore a broad range of C-UAS methods, including but not limited to networking-based detection and coordination techniques, machine learning, and both active and passive mitigation approaches. Emphasis will be placed on developing and evaluating innovative algorithms and system architectures that enhance detection accuracy, response speed, and overall effectiveness against evolving drone threats. The work aims to advance technical capabilities in autonomous and intelligent counter-drone systems.