Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs
Ref: CISTER-TR-190404 Publication Date: 24 to 28, Jun, 2019
Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVsRef: CISTER-TR-190404 Publication Date: 24 to 28, Jun, 2019
This paper considers that a legitimate UAV tracks suspicious UAVs’ flight for preventing intended crimes and terror attacks. To enhance tracking accuracy, the legitimate UAV proactively eavesdrops suspicious UAVs’ communication via sending jamming signals. A tracking algorithm is developed for the legitimate UAV to track the suspicious flight by comprehensively utilizing eavesdropped packets, angle-of-arrival and received signal strength of the suspicious transmitter’s signal. A new co-simulation framework is implemented to combine the complementary features of optimization toolbox with channel modeling (in Matlab) and discrete event-driven mobility tracking (in NS3). Moreover, numerical results validate the proposed algorithms in terms of tracking accuracy of the suspicious UAVs’ trajectory.
15th International Wireless Communications & Mobile Computing Conference (IWCMC 2019), Vehicular Communications Symposium, pp 477-482.