On the Value of Ignorance: Balancing Tracking and Privacy Using a Two-Bit Sensor
On the Value of Ignorance: Balancing Tracking and Privacy Using a Two-Bit Sensor
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关于无知的价值：使用两位传感器平衡跟踪和隐私
DOI：
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发表时间：
2008
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通讯作者：
J. O’Kane
中科院分区：
文献类型：
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作者：
J. O’Kane
我们考虑一个目标跟踪问题，在这个问题中，跟踪器除了感知移动目标位置的一些信息外，还必须确保该目标的隐私得到保护，即使存在完全可以访问跟踪器传感器数据的对手。这类问题对于许多类型的机器人系统来说都是很重要的，因为它们涉及到不能完全信任的通信系统或代理。在本文中，我们(1)引入了隐私的正式定量定义，(2)描述了允许机器人在跟踪和隐私方面保持其性能保守估计的算法，(3)给出了跟踪器在允许的隐私级别约束下最大化其跟踪性能的策略，以及(4)给出了这些方法的实现以及一些实验结果。
We consider a target tracking problem in which, in addition to sensing some information about the position of a mobile target, the tracker must also ensure that the privacy of that target is preserved, even in the presence of adversaries that have complete access to the tracker’s sensor data. This kind of problem is important for many kinds of robot systems that involve communication systems or agents that cannot be fully trusted. In this paper, we (1) introduce a formal, quantitative definition for privacy, (2) describe algorithms that allow a robot to maintain conservative estimates of its performance in terms of tracking and privacy, (3) give strategies for the tracker to maximize its tracking performance, subject to constraints on the allowable privacy levels, and (4) present an implementation of these methods along with some experimental results.