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A Privacy-Sensitive Approach for Group Convergence in Location-Based Services

机译:基于位置的服务中的集体融合隐私敏感方法

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The advancement of wireless communication technology and sensor technology, as well as the popularity of portable devices has promoted the location-based services (LBS) to a new stage, while new spatial-temporal query techniques and scenarios have emerged continuously. One of the interesting scenarios is the spatial skyline query that retrieves those points of P not dominated by any other point in P with respect to their derived spatial attributes. However, being point-based, the former query method is not suitable for privacy protection. In this article, we propose a range-based spatial skyline query solution, including two algorithms, namely VRSSA for static query points, and DDOAA and DDODA for the dynamic change of the data points queried.
机译:无线通信技术和传感器技术的进步以及便携式设备的普及已经将基于位置的服务(LBS)促进到新阶段,而新的空间 - 时间查询技术和方案连续出现。其中一个有趣的方案是空间天际线查询,其检索不受P中的任何其他点主导的p的那些点,而他们派生的空间属性。但是,基于点,前Query方法不适合隐私保护。在本文中,我们提出了一种基于范围的空间天际线查询解决方案,包括两个算法,即静态查询点的VRSSA,以及DDOAA和DDODA,用于查询的数据点的动态变化。

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