一种定位服务中隐私保护的自适应空间隐身方法

2014 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2014-12-15 DOI:10.1109/ICTC.2014.6983186

Xu Zhang, Gyoungbae Kim, Hae-Young Bae

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引用次数: 11

摘要

对于使用基于位置的服务的移动用户来说，位置隐私一直是一个严重的问题。然而，现有的隐身方法由于隐身面积大，计算量大，通信成本高。本文提出了一种基于语义位置的自适应空间隐身方法，以保护用户隐私。采用非对称方式生成隐身区域，可获得合理的隐身尺寸。实验结果表明，该方法通过改善计算量和通信开销，在效率和可扩展性方面具有良好的性能。

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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An adaptive spatial cloaking method for privacy protection in location-based service

Location privacy has been a serious concern for mobile users who use location-based services. However, existing cloaking methods suffer from computation and communication cost due to the large cloaking area. In this paper, we propose an adaptive spatial cloaking method based on the semantic locations to protect users' privacy. The cloaking region is generated in an asymmetric way and can obtain a reasonable cloaking size. The performance exhibits that our proposed method renders good performance in efficiency and scalability by improving computation and communication overhead.

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2014 International Conference on Information and Communication Technology Convergence (ICTC)

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