SoundUAV: Towards delivery drone authentication via acoustic noise fingerprinting

Soundarya Ramesh, Thomas Pathier, Jun Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Drones are gaining a lot of traction in a wide spectrum of applications. This popularity makes them attractive attack surfaces, which necessitates the need for ensuring their security. Specifically, in the case of drone delivery, an attacker drone may impersonate the legitimate one in order to steal packages, which makes drone authentication important. Recent efforts have pushed to incorporate digital certificates as an authenticator for drones. However, such software-based techniques are often compromised and can be launched on a large scale, making them a bigger threat. To this end, we propose SoundUAV as an additional factor of authentication that leverages differences in the acoustic noise characteristics of drones to fingerprint them. These differences are caused due to manufacturing defects in their motors, making them hard to replicate. Moreover, SoundUAV does not require any hardware modifications to existing drones as they leverage the freely available sound information, and it is also robust to large-scale attacks as the attacks involve hardware alterations. To test the feasibility of SoundUAV, we evaluate it on 54 motors, and 11 drones of the same make and model, and report fingerprinting accuracy of 99.48%.

Original languageEnglish
Title of host publicationDroNet 2019 - Proceedings of the 5th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, co-located with MobiSys 2019
PublisherAssociation for Computing Machinery, Inc
Pages27-32
Number of pages6
ISBN (Electronic)9781450367721
DOIs
Publication statusPublished - 2019 Jun 12
Event5th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, DroNet 2019, co-located with MobiSys 2019 - Seoul, Korea, Republic of
Duration: 2019 Jun 21 → …

Publication series

NameDroNet 2019 - Proceedings of the 5th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, co-located with MobiSys 2019

Conference

Conference5th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, DroNet 2019, co-located with MobiSys 2019
Country/TerritoryKorea, Republic of
CitySeoul
Period19/6/21 → …

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'SoundUAV: Towards delivery drone authentication via acoustic noise fingerprinting'. Together they form a unique fingerprint.

Cite this