Sounduav: Fingerprinting acoustic emanations for delivery drone authentication

Soundarya Ramesh, Thomas Pathier, Jun Han

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

Abstract

Delivery drones may become potential targets for package theft. An adversary may launch a drone impersonation attack, where the adversary’s drone purports to be a legitimate delivery drone. To protect against such attacks, authenticating drones is crucial. Existing authentication schemes based on digital certificates have been shown to be compromised by security breaches on certificate authorities. Thus, we propose SoundUAV as a second factor of authentication for drones that leverages uniqueness in acoustic emanations to fingerprint drones, even within the same make and model. This uniqueness is attributed to hardware defects in motors, making SoundUAV secure against impersonation and robust to large scale attacks. Further, SoundUAV requires no hardware modifications to drones as it utilizes the pervasive acoustic emanations. We perform preliminary evaluation on eleven drones and obtain a fingerprinting accuracy of 99.48%.

Original languageEnglish
Title of host publicationMobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services
PublisherAssociation for Computing Machinery, Inc
Pages632-633
Number of pages2
ISBN (Electronic)9781450366618
DOIs
Publication statusPublished - 2019 Jun 12
Event17th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2019 - Seoul, Korea, Republic of
Duration: 2019 Jun 172019 Jun 21

Publication series

NameMobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services

Conference

Conference17th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2019
Country/TerritoryKorea, Republic of
CitySeoul
Period19/6/1719/6/21

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

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