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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 UAVs

Ref: CISTER-TR-190404       Publication Date: 24 to 28, Jun, 2019

Abstract:
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.

Authors:
Kai Li
,
Salil S. Kanhere
,
Wei Ni
,
Eduardo Tovar
,
Mohsen Guizani


Events:

IWCMC 2019
24, Jun, 2019 >> 28, Jun, 2019
15th International Wireless Communications & Mobile Computing Conference
Tangier, Morocco


15th International Wireless Communications & Mobile Computing Conference (IWCMC 2019), Vehicular Communications Symposium, pp 477-482.
Tangier, Morocco.

DOI:10.1109/IWCMC.2019.8766696.
ISBN: 978-1-5386-7747-6.
ISSN: 2376-6506.



Record Date: 4, Apr, 2019