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المؤلفKhan, Muhammad Asif
المؤلفMenouar, Hamid
المؤلفKhalid, Osama Muhammad
المؤلفAbu-Dayya, Adnan
تاريخ الإتاحة2024-10-20T10:43:19Z
تاريخ النشر2022
اسم المنشورProceedings of the IEEE International Conference on Industrial Technology
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICIT48603.2022.10002815
معرّف المصادر الموحدhttp://hdl.handle.net/10576/60221
الملخصThe increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthorized drones is a significant problem which received attention in the last few years. In this paper, we present our experimental work on three drone detection methods (i.e., acoustic detection, radio frequency (RF) detection, and visual detection) to evaluate their efficacy in both indoor and outdoor environments. Owing to the limitations of these schemes, we present a novel encryption-based drone detection scheme that uses a two-stage verification of the drone's received signal strength indicator (RSSI) and the encryption key generated from the drone's position coordinates to reliably detect an unauthorized drone in the presence of authorized drones.
راعي المشروعThis publication was made possible by the NPRP award NPRP12S-0313-190348 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. Qatar National Library funded the publications of this article.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعAcoustic
drone detection
radar
radio frequency
visual
العنوانUnauthorized Drone Detection: Experiments and Prototypes
النوعConference
رقم المجلد2022-August
dc.accessType Full Text


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