Show simple item record

AuthorKhan, Muhammad Asif
AuthorMenouar, Hamid
AuthorKhalid, Osama Muhammad
AuthorAbu-Dayya, Adnan
Available date2024-10-20T10:43:19Z
Publication Date2022
Publication NameProceedings of the IEEE International Conference on Industrial Technology
ResourceScopus
URIhttp://dx.doi.org/10.1109/ICIT48603.2022.10002815
URIhttp://hdl.handle.net/10576/60221
AbstractThe 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.
SponsorThis 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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAcoustic
drone detection
radar
radio frequency
visual
TitleUnauthorized Drone Detection: Experiments and Prototypes
TypeConference
Volume Number2022-August
dc.accessType Full Text


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record