Privacy-Preserving Multi-Party Access Control for Third-Party UAV Services

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Third-Party Unmanned Aerial Vehicle (UAV) Services, a.k.a. Drone-as-a-Service (DaaS), are an increasingly adopted business model, which enables possibly unskilled users, with no background knowledge, to operate drones and run automated drone-based tasks. Although these services provide significant advantages, the resources provided by drones are typically owned by multiple parties. Thus, Third-Party UAV services require adopting multi-party access control solutions. In this context, the leakage of the access control policies specified by the data owners might disclose confidential information and, thus, they should be protected as well. In this work, we propose a privacy-preserving multi-party access control solution tailored to the application scenarios of Third-Party UAV Services. Our solution advances an existing privacy-preserving multi-party access control framework based on Secure Function Evaluation to fit the distributed and heterogeneous nature of drone deployments. Through an extensive experimental evaluation, we demonstrate our solution can perform private policy evaluation on constrained devices in a reasonable time while requiring limited communication, memory, and energy overhead.
Originele taal-2Engels
TitelSACMAT 2023 - Proceedings of the 28th ACM Symposium on Access Control Models and Technologies
UitgeverijAssociation for Computing Machinery, Inc
Pagina's19-30
Aantal pagina's12
ISBN van elektronische versie9798400701733
DOI's
StatusGepubliceerd - 24 mei 2023
Evenement28th ACM Symposium on Access Control Models and Technologies - Trento, Italië
Duur: 7 jun. 20239 jun. 2023
https://sacmat2023.fbk.eu/index.php

Publicatie series

NaamACM International Conference Proceeding Series

Congres

Congres28th ACM Symposium on Access Control Models and Technologies
Land/RegioItalië
StadTrento
Periode7/06/239/06/23
Internet adres

Bibliografische nota

Funding Information:
This work has been supported by the INTERSECT project, Grant No. NWA.1162.18.301, funded by Netherlands Organisation for Scientific Research (NWO). Any opinions, findings, conclusions, or recommendations expressed in this work are those of the author(s) and do not necessarily reflect the views of NWO.

Publisher Copyright:
© 2023 Owner/Author.

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