In this research project, we want to develop a tool able to predict the performance of C-UAS systems on the one side and the risk (induced collateral damage) on the other side, along the kill chain DTIN (Detection-Track-Identification-Neutralization). The project is divided into two distinctive parts, sensors and effectors, which are investigated by two researchers. Our objectives are to create realistic models for sensors and effectors, with increasing complexity, to match with practical field results. Those models will finally be integrated into a software for 3D coverage visualisation, sensor/effector optimal position, performance and risk predictions and scenario’s illustration.