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Optimizational Scheme for Constructing Anonymous Spatial Region under Continuous LBS Queries

机译:用于在连续LBS查询下构建匿名空间区域的优化方案

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K-anonymity technology is one of the important technologies of location privacy protection based on LBS(Location-based service, LBS), it protects users' location privacy by constructing ASR(anonymous spatial region, ASR). Existing construction schemes for ASR based on continuous LBS queries giving rise to the problem of generating a large ASR, which increases query latency and server load, thus affect the QoS(quality of service, QoS) of users. Considering the shortages of existing ASR construction schemes for continuous LBS queries and the influence of aggregation property and moving directions of historical users in ASR, a new ASR construction scheme is proposed in this paper by selecting regions with high frequency of users and introducing the idea of ASR segmentation. The experimental results show that this scheme can further reduce the ASR and improve the QoS under the premise of satisfying users' location privacy demands.
机译:K-Anonymity技术是基于LBS(基于位置的服务,LBS)的位置隐私保护的重要技术之一,它通过构建ASR(匿名空间区域,ASR)来保护用户的位置隐私。基于连续LBS查询的ASR的现有施工方案产生了生成大型ASR的问题,这增加了查询延迟和服务器负载,从而影响了用户的QoS(服务质量,QoS)。考虑到持续LBS查询的现有ASR建设方案的短缺以及ASR中历史用户的聚合性能和移动方向,通过选择具有高频率的地区并引入思路的新的ASR施工方案ASR分割。实验结果表明,该方案可以进一步减少ASR,并在满足用户位置隐私需求的前提下改善QoS。

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