融合语义信息的最优位置选择算法

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中图分类号： TO309 文献标志码： ADOI： 10. 13705 / j. issn. 1671-6841. 2023263

文章编号： 1671-6841（2025）04-0088-07

Abstract： Currently， the widespread application of location services poses challenges to personal information security. In response， researchers explored various strategies for location privacy protection， with algorithms incorporating semantic information emerging as a key focus. A new idea for selecting location centers was proposed using semantic information， integrating this concept with semantic distance to choose the optimal anonymous candidate set， thereby ensuring the semantic and physical diversity of the location set. Experimental results demonstrated that compared with DLS， Enhanced-DLS， and MMDS algorithms， the method maintained diversity in both semantic and physical aspects， effectively reducing the accuracy of location data and protecting user privacy.

Key words： location privacy; semantic information; location center; anonymous candidate set

0 引言

在当前数字化社会的背景下，基于位置的服务（ location-based service，LBS） 和定位技术得到了广泛应用，进而使用户位置隐私的问题受到了关注。（剩余12306字）