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Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs
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Orientador(es)
Resumo(s)
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
Descrição
Palavras-chave
Unmanned Aerial Vehicles Flight tracking Proactive eavesdropping Legitimate surveillance
Contexto Educativo
Citação
Editora
Institute of Electrical and Electronics Engineers