AliDrone: Enabling Trustworthy Proof-of-Alibi for Commercial Drone Compliance

AliDrone: Enabling Trustworthy Proof-of-Alibi for Commercial Drone Compliance
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DOI:
10.1109/icdcs.2018.00086
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发表时间:
2018-07
期刊:
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
影响因子:
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通讯作者:
Tianyuan Liu;Avesta Hojjati;Adam Bates;K. Nahrstedt
Tianyuan Liu;Avesta Hojjati;Adam Bates;K. Nahrstedt
中科院分区:
其他
文献类型:
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作者:
Tianyuan Liu;Avesta Hojjati;Adam Bates;K. Nahrstedt

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无人机的商业使用有望彻底改变消费者与零售服务的互动方式。然而,无人机技术对隐私的影响引发了公众的强烈抗议,这严重阻碍了无人机的进一步采用。虽然立法者试图建立无人机使用的标准(例如,禁飞区(NFZ)),但目前政策执行的一般技术机制无法实现最先进的无人机。在这项工作中,我们建议将Alibi证明(POA)协议作为强制执行无人机隐私合规性的基础。我们设计和实现了AliDrone,这是一个值得信赖的POA协议,使单个无人机能够向第三方审计员证明它们遵守了NFZ。AliDrone利用受信任的硬件在安全的飞地内产生加密签名的GPS读数,防止恶意的无人机运营商能够伪造地理位置信息。AliDrone具有自适应采样算法,可对NFZ邻近做出反应,以将处理成本降至最低。通过实验室基准和现场研究,我们证明了AliDrone在提供强大的地理位置保证的同时,平均增加了1.5%的CPU使用率和0.3%的内存消耗。因此,AliDrone通过引入值得信赖和负责任的合规机制,使无人机技术进一步扩散。
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.