Transfer Learning based GPS Spoofing Detection for Cellular-Connected UAVs

Yongchao Dang, Chafika Benzaid, Tarik Taleb, Bin Yang, Yulong Shen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)
178 Downloads (Pure)

Abstract

Unmanned Aerial Vehicles (UAVs) are set to become an integral part of 5G and beyond systems with the promise of assisting cellular communications and enabling advanced applications and services, such as public safety, caching, and virtual/mixed reality-based remote inspection. However, safe and secure navigation of UAVs is a key requisite for their integration in the airspace. The GPS spoofing is one of the major security threats to remotely and autonomously controlled UAVs. In this paper, we propose a machine learning-based, mobile network-assisted UAV monitoring and control system that allows live monitoring of UAVs' locations and intelligent detection of spoofed positions. We introduce the Convolutional Neural Network (CNN) in the edge UAV Flight Controller (UFC) to locate a UAV and detect any GPS spoofing by comparing differences between the theoretical path loss computed by UFC and the corresponding path loss reported by the connected base station (BS). To reduce the detection latency as well as to increase the detection accuracy, transfer learning is leveraged to transfer the CNN knowledge between edge servers when the UAV handovers from one BS to another. The performance evaluation shows that the proposed solution can successfully detect spoofed GPS positions with an accuracy rate above 88% using only one BS.

Original languageEnglish
Title of host publication2022 International Wireless Communications and Mobile Computing, IWCMC 2022
PublisherIEEE
Pages629-634
Number of pages6
ISBN (Electronic)978-1-6654-6749-0
DOIs
Publication statusPublished - 19 Jul 2022
MoE publication typeA4 Conference publication
EventInternational Wireless Communications and Mobile Computing Conference - Dubrovnik, Croatia
Duration: 30 May 20223 Jun 2022

Publication series

NameInternational Wireless Communications and Mobile Computing Conference
ISSN (Electronic)2376-6506

Conference

ConferenceInternational Wireless Communications and Mobile Computing Conference
Abbreviated titleIWCMC
Country/TerritoryCroatia
CityDubrovnik
Period30/05/202203/06/2022

Keywords

  • Beyond 5G
  • Convolutional Neural Network (CNN)
  • GPS spoofing
  • Transfer Learning
  • Unmanned Aerial Vehicles (UAVs)

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