第三方无人机服务的隐私保护多方访问控制

Dominik Roy George, Savio Sciancalepore, Nicola Zannone
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引用次数: 0

摘要

第三方无人机(UAV)服务,又称无人机即服务(DaaS),是一种越来越被采用的商业模式,它使可能没有背景知识的非熟练用户能够操作无人机并运行基于无人机的自动化任务。尽管这些服务提供了显著的优势,但无人机提供的资源通常为多方所有。因此,第三方无人机服务需要采用多方访问控制解决方案。在这种情况下,泄露数据所有者指定的访问控制策略可能会泄露机密信息,因此也应该对其进行保护。本文针对第三方无人机服务的应用场景,提出了一种保护隐私的多方访问控制解决方案。我们的解决方案改进了现有的基于安全功能评估的保护隐私的多方访问控制框架,以适应无人机部署的分布式和异构特性。通过广泛的实验评估,我们证明了我们的解决方案可以在合理的时间内对受限设备执行私有策略评估,同时需要有限的通信、内存和能源开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Preserving Multi-Party Access Control for Third-Party UAV Services
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.
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