TY - JOUR
T1 - Cost-effective and passive RF-based drone presence detection and characterization
AU - Nguyen, Phuc
AU - Truong, Hoang
AU - Ravindranathan, Mahesh
AU - Nguyen, Anh
AU - Han, Richard
AU - Vu, Tam
PY - 2017/12
Y1 - 2017/12
N2 - The rapidly increasing attention regarding drone privacy and security issues requires a robust solution in both detecting and characterizing unauthorized drones. We have designed a RF-based, cost-effective and passive drone detection system, named Matthan, based on two key physical signatures of the drones, i.e., body shifting and body vibration, in the drone's wireless communication channel. In realizing Matthan, there are many open challenges in wireless sensing and networking, software-defined radio deployment, network synchronization to passively and accurately detect, localize, and characterize drones.
AB - The rapidly increasing attention regarding drone privacy and security issues requires a robust solution in both detecting and characterizing unauthorized drones. We have designed a RF-based, cost-effective and passive drone detection system, named Matthan, based on two key physical signatures of the drones, i.e., body shifting and body vibration, in the drone's wireless communication channel. In realizing Matthan, there are many open challenges in wireless sensing and networking, software-defined radio deployment, network synchronization to passively and accurately detect, localize, and characterize drones.
U2 - 10.1145/3191789.3191800
DO - 10.1145/3191789.3191800
M3 - Article
SN - 2375-0529
VL - 21
SP - 30
EP - 34
JO - GetMobile: Mobile Computing and Communications
JF - GetMobile: Mobile Computing and Communications
IS - 4
ER -