research-article

Efficacy of Asynchronous GPS Spoofing Against High Volume Consumer GNSS Receivers

Authors:

M Surendra Kumar,

Gaurav S. Kasbekar,

Arnab MaityAuthors Info & Claims

Q2SWinet '22: Proceedings of the 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

Pages 95 - 104

https://doi.org/10.1145/3551661.3561365

Published: 24 October 2022 Publication History

Abstract

The vulnerability of the Global Positioning System (GPS) against spoofing is known for quite some time. Also, the positioning and navigation of most semi-autonomous and autonomous drones are dependent on Global Navigation Satellite System (GNSS) signals. In prior work, simplistic or asynchronous GPS spoofing was found to be a simple, efficient, and effective cyber attack against L1 GPS or GNSS dependent commercial drones. In this paper, first we make some important observations on asynchronous GPS spoofing attacks on drones presented in prior research literature. Then, we design an asynchronous GPS spoofing attack plan. Next, we test the effectiveness of this attack against GNSS receivers (high volume consumer devices based on Android mobile phones) of different capabilities and a commercial drone (DJI Mavic 2 Pro) under various conditions. Finally, we present several novel insights based on the results of the tests.

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Cited By

Tu YPiramuthu S(2023)Security and privacy risks in drone-based last mile deliveryEuropean Journal of Information Systems10.1080/0960085X.2023.2214744(1-14)Online publication date: 17-May-2023
https://doi.org/10.1080/0960085X.2023.2214744
Kumar MKasbekar GMaity A(2022)Identification of GPS Spoofing as a Drone Cyber-vulnerability and Evaluation of Efficacy of Asynchronous GPS spoofingIFAC-PapersOnLine10.1016/j.ifacol.2023.03.06655:22(394-399)Online publication date: 2022
https://doi.org/10.1016/j.ifacol.2023.03.066

Index Terms

Efficacy of Asynchronous GPS Spoofing Against High Volume Consumer GNSS Receivers
1. Networks
  1. Network performance evaluation
    1. Network experimentation

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cover image ACM Conferences

Q2SWinet '22: Proceedings of the 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

October 2022

145 pages

ISBN:9781450394819

DOI:10.1145/3551661

General Chair:
Azzedine Boukerche
University of Ottawa, Canada
,
Program Chair:
Peng Sun
Duke Kunshan University, China

Copyright © 2022 ACM.

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Published: 24 October 2022

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IRCC, IIT Bombay

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MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

October 24 - 28, 2022

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Q2SWinet '22 Paper Acceptance Rate 16 of 47 submissions, 34%;

Overall Acceptance Rate 46 of 131 submissions, 35%

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Cited By

Tu YPiramuthu S(2023)Security and privacy risks in drone-based last mile deliveryEuropean Journal of Information Systems10.1080/0960085X.2023.2214744(1-14)Online publication date: 17-May-2023
https://doi.org/10.1080/0960085X.2023.2214744
Kumar MKasbekar GMaity A(2022)Identification of GPS Spoofing as a Drone Cyber-vulnerability and Evaluation of Efficacy of Asynchronous GPS spoofingIFAC-PapersOnLine10.1016/j.ifacol.2023.03.06655:22(394-399)Online publication date: 2022
https://doi.org/10.1016/j.ifacol.2023.03.066

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