AliDrone: Enabling trustworthy proof-of-alibi for commercial drone compliance

Tianyuan Liu, Avesta Hojjati, Adam Bates, Klara Nahrstedt

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

Abstract

Commercial use of Unmanned Aerial Vehicles (UAVs), or drones, promises to revolutionize the way in which consumers interact with retail services. However, the further adoption of UAVs has been significantly impeded by an overwhelming public outcry over the privacy implications of drone technology. While lawmakers have attempted to establish standards for drone use (e.g., No-Fly-Zones (NFZs)), at present a general technical mechanism for policy enforcement eludes state-of-the-art drones. In this work, we propose that Proof-of-Alibi (PoA) protocols should serve as the basis for enforcing drone privacy compliance. We design and implement AliDrone, a trustworthy PoA protocol that enables individual drones to prove their compliance with NFZs to a third party Auditor. AliDrone leverages trusted hardware to produce cryptographically-signed GPS readings within a secure enclave, preventing malicious drone operators from being able to forge geo-location information. AliDrone features an adaptive sampling algorithm that reacts to NFZ proximity in order to minimize the processing cost. Through laboratory benchmarks and field studies, we demonstrate that AliDrone provides strong assurance of geo-location while imposing an average of 1.5% overhead on CPU utilization and 0.3% of memory consumption. AliDrone thus enables the further proliferation of drone technology through the introduction of a trustworthy and accountable compliance mechanism.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE 38th International Conference on Distributed Computing Systems, ICDCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages841-852
Number of pages12
ISBN (Electronic)9781538668719
DOIs
StatePublished - Jul 19 2018
Event38th IEEE International Conference on Distributed Computing Systems, ICDCS 2018 - Vienna, Austria
Duration: Jul 2 2018Jul 5 2018

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2018-July

Other

Other38th IEEE International Conference on Distributed Computing Systems, ICDCS 2018
CountryAustria
CityVienna
Period7/2/187/5/18

Keywords

  • Drone
  • GPS Forgery Attack
  • Privacy
  • TrustZone

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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  • Cite this

    Liu, T., Hojjati, A., Bates, A., & Nahrstedt, K. (2018). AliDrone: Enabling trustworthy proof-of-alibi for commercial drone compliance. In Proceedings - 2018 IEEE 38th International Conference on Distributed Computing Systems, ICDCS 2018 (pp. 841-852). (Proceedings - International Conference on Distributed Computing Systems; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2018.00086