research-article

G2Auth: secure mutual authentication for drone delivery without special user-side hardware

Authors:

Qiang ZengAuthors Info & Claims

MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services

Pages 84 - 98

https://doi.org/10.1145/3498361.3538941

Published: 27 June 2022 Publication History

Abstract

Because of its cost effectiveness and timeliness, package delivery using unmanned aerial vehicles (UAVs), called drone delivery, is drawing growing attention. Authentication is critical for ensuring that a package is not picked up by an attacker's drone or delivered to an attacker. As delivery drones are costly and may carry sensitive or expensive packages, a drone should not get very close to a person unless she is authenticated; thus, conventional authentication approaches that require human-drone physical contact do not work. Existing authentication methods for drone delivery suffer from one or multiple of the following limitations: (1) requiring special user-side hardware; (2) enforcing one-way authentication only; (3) being vulnerable to relay attacks; (4) having compatibility issues. We present the first system, named Greet-to-Auth (G2Auth, for short), that supports mutual authentication between a user and a drone, without these limitations. A user waves her hand holding a smartphone to conduct the authentication. The evaluation shows that it is secure, accurate, usable, and robust.

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Cited By

Wu CZeng Q(2024)Turning Noises to Fingerprint-Free “Credentials”: Secure and Usable Drone AuthenticationIEEE Transactions on Mobile Computing10.1109/TMC.2024.337350323:10(10161-10174)Online publication date: Oct-2024
https://doi.org/10.1109/TMC.2024.3373503
Kim JKim DDavid-John B(2024)The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agenciesCities10.1016/j.cities.2024.105339154(105339)Online publication date: Nov-2024
https://doi.org/10.1016/j.cities.2024.105339
Parameswarath RSikdar B(2023)Privacy-Preserving Mutual Authentication Protocol for Drone Delivery ServicesGLOBECOM 2023 - 2023 IEEE Global Communications Conference10.1109/GLOBECOM54140.2023.10436751(2166-2171)Online publication date: 4-Dec-2023
https://doi.org/10.1109/GLOBECOM54140.2023.10436751
Show More Cited By

Index Terms

G2Auth: secure mutual authentication for drone delivery without special user-side hardware
1. Networks
  1. Network properties
    1. Network security
      1. Mobile and wireless security
2. Security and privacy
  1. Security services
    1. Authentication

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cover image ACM Conferences

MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services

June 2022

668 pages

ISBN:9781450391856

DOI:10.1145/3498361

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Portland State University
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Ehsan Aryafar
Portland State University
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Stony Brook University
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Junehwa Song
KAIST

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Published: 27 June 2022

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Cited By

Wu CZeng Q(2024)Turning Noises to Fingerprint-Free “Credentials”: Secure and Usable Drone AuthenticationIEEE Transactions on Mobile Computing10.1109/TMC.2024.337350323:10(10161-10174)Online publication date: Oct-2024
https://doi.org/10.1109/TMC.2024.3373503
Kim JKim DDavid-John B(2024)The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agenciesCities10.1016/j.cities.2024.105339154(105339)Online publication date: Nov-2024
https://doi.org/10.1016/j.cities.2024.105339
Parameswarath RSikdar B(2023)Privacy-Preserving Mutual Authentication Protocol for Drone Delivery ServicesGLOBECOM 2023 - 2023 IEEE Global Communications Conference10.1109/GLOBECOM54140.2023.10436751(2166-2171)Online publication date: 4-Dec-2023
https://doi.org/10.1109/GLOBECOM54140.2023.10436751
Sharp JWu CZeng Q(2022)Authentication for drone delivery through a novel way of using face biometricsProceedings of the 28th Annual International Conference on Mobile Computing And Networking10.1145/3495243.3560550(609-622)Online publication date: 14-Oct-2022
https://dl.acm.org/doi/10.1145/3495243.3560550

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