Road Network-Aware Anonymization in Mobile Systems with Reciprocity Support

Bhuvan Bamba, Ling Liu, Emre Yigitoglu
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引用次数: 1

Abstract

Most existing solutions on location anonymization fail to address the issue of location privacy protection for mobile users traveling on road networks. In this paper, we present a road network-aware privacy model to handle the location privacy problem in mobile systems. We present third party supported anonymization which can be plugged into existing mobile systems without major modifications. As opposed to current road network specific solutions, our system has the following salient features. First, we argue that the graph density of a cloaked subgraph is an important location cloaking quality measure for road network-based location privacy protection. High graph density leads to high utility of the cloaked location with respect to spatial resolution. Second, we devise a suite of graph-based cloaking algorithms which guarantee reciprocity - an important location cloaking property that many existing approaches fail to support - under an enhanced privacy model. Further, we use controlled randomization in the cloaking process to provide higher privacy strength while maintaining the utility of the cloaked location. Last but not the least, our experimental evaluation shows the efficiency and robustness of the approach in terms of privacy, utility and performance of the model.
互惠支持下移动系统中道路网络感知匿名化
现有的位置匿名化解决方案大多无法解决道路网络移动用户的位置隐私保护问题。本文提出了一种道路网络感知隐私模型来处理移动系统中的位置隐私问题。我们提供第三方支持的匿名化,它可以插入到现有的移动系统中,而无需进行重大修改。与目前的路网特定解决方案不同,我们的系统具有以下突出特点。首先,我们认为隐蔽子图的图密度是道路网络位置隐私保护中重要的位置隐蔽质量度量。高的图形密度导致隐藏位置相对于空间分辨率的高效用。其次,我们设计了一套基于图的隐身算法,在增强的隐私模型下保证互惠性——这是许多现有方法无法支持的重要位置隐身属性。此外,我们在隐藏过程中使用受控随机化来提供更高的隐私强度,同时保持隐藏位置的效用。最后但并非最不重要的是,我们的实验评估显示了该方法在隐私,效用和模型性能方面的效率和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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