University of Oulu

Y. Dang, C. Benzaïd, Y. Shen and T. Taleb, "GPS Spoofing Detector with Adaptive Trustable Residence Area for Cellular based-UAVs," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6, doi: 10.1109/GLOBECOM42002.2020.9348030

GPS spoofing detector with adaptive trustable residence area for cellular based-UAVs

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Author: Dang, Yongchao1; Benzäıd, Chafika1; Shen, Yulong2;
Organizations: 1Aalto University, Espoo, Finland
2Xidian University, Xi’an, China
3University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-02-25


The envisioned key role of Unmanned Aerial Vehicles (UAVs) in assisting the upcoming mobile networks calls for addressing the challenge of their secure and safe integration in the airspace. The GPS spoofing is a prominent security threat of UAVs. In this paper, we propose a 5G-assisted UAV position monitoring and anti-GPS spoofing system that allows live detection of GPS spoofing by leveraging Uplink received signal strength (RSS) measurements to cross-check the position validity. We introduce the Adaptive Trustable Residence Area (ATRA); a novel strategy to determine the trust area within which the UAV’s GPS position should be located in order to be considered as non-spoofed. The performance evaluation shows that the proposed solution can successfully detect spoofed GPS positions with a rate of above 95%.

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Series: IEEE Global Communications Conference
ISSN: 2334-0983
ISSN-E: 2576-6813
ISSN-L: 2334-0983
ISBN: 978-1-7281-8298-8
ISBN Print: 978-1-7281-8299-5
Article number: 9348034
DOI: 10.1109/GLOBECOM42002.2020.9348030
Host publication: GLOBECOM 2020 - 2020 IEEE Global Communications Conference
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was partially supported by the European Union's Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031, the Academy of Finland 6Genesis project under Grant No. 318927, It was also supported in the National Outstanding Youth Science Fund Project of China with grant No. 61825104 and the National Natural Science Foundation of China under grant agreement No. 61941105.
EU Grant Number: (857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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