Private UAV-Assisted IoT Data Collection: An Energy-Privacy Trade-off
Private UAV-Assisted IoT Data Collection: An Energy-Privacy Trade-off
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DOI：
10.1109/pst58708.2023.10320196
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发表时间：
2023-08
期刊：
影响因子：
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通讯作者：
Benjamin Fenelon;S. Enayati;Hossein Pishro-Nik
中科院分区：
文献类型：
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作者：
Benjamin Fenelon;S. Enayati;Hossein Pishro-Nik
无人机（UAV）为物联网（IoT）数据收集提供了有趣的可能性。然而，它也可能危及物联网设备的隐私。特别是，对手可以通过监视无人机的移动模式来推断物联网的位置，这需要分析保护物联网位置隐私的隐私保护机制。然而，将隐私措施纳入运营会产生额外的费用。这些成本之一是UAV可能需要行进以完成其任务的额外距离，从而增加了能量消耗。本文研究了无人机辅助物联网数据收集应用中隐私和能源之间的权衡。首先，我们考虑了一个初步的隐私机制，并解析地获得了额外的飞行距离和能量消耗的无人机的上界。然后，我们考虑一种基于位置的差异隐私机制来实现地理不可区分性。正如预期的那样，我们的研究表明，对无人机辅助物联网数据收集施加隐私限制会导致无人机能耗增加。具体而言，随着隐私保障变得更加严格，无人机的能耗呈指数级增长。尽管如此，考虑到能量约束，可以确保一定程度的隐私保证。
Unmanned aerial vehicles (UAVs) offer intriguing possibilities for Internet of Things (IoT) data collection. However, it can also jeopardize the privacy of IoT devices. In particular, an adversary can deduce the location of IoTs by monitoring the UAV’s mobility patterns, which necessitates the analysis of privacy-preserving mechanisms that protect IoT location privacy. Nonetheless, integrating privacy measures into operations incurs additional expenses. One of these costs is the added distance that UAVs may need to travel to accomplish their task, in turn increasing energy consumption. This paper investigates the trade-off between privacy and energy in the UAV-assisted IoT data collection application. First, we consider a preliminary privacy mechanism and analytically obtain the upper bounds of the extra flight distance and energy consumption for the UAV. Then, we consider a location-based differential privacy mechanism to achieve geo-indistinguishability. As expected, our study shows that imposing privacy constraints on UAV-assisted IoT data collection leads to increased UAV energy consumption. Specifically, as privacy guarantees become more restrictive, the energy consumption of UAVs increases exponentially. Nevertheless, given an energy constraint, one can assure a certain level of privacy guarantee.