一种自适应情景的位置隐私保护方法

An adaptive context-aware location privacy protection method

针对当前定位服务(LBS)系统中位置隐私保护方法大都采用可信第三方匿名服务器以及隐私保护度与通讯开销难以平衡的问题,在不改变现有LBS系统架构下,提出一种自适应情景的位置隐私保护方法。当用户消费服务时,终端实时下载粗糙的路网情景数据,通过上下文感知取得用户位置情景信息,系统自适应用户个性化隐私保护设置返回最小通讯成本的路网数据和查询结果。最后,通过实验验证算法的性能。

Most current privacy-preserving located-based service(LBS) techniques either require a trusted third-party anonymizer or have proved to be quivering in the balance with the levels of privacy protection and communication overhead.In order to address these challenges,an adaptive context-aware privacy-preserving technique was introduced without modifying the LBS system architecture.The context of a user’s location can be achieved in real time based on the downloaded rough topology maps while users consume services,but only has minimal storage space and retrieval cost.Furthermore,the usage of context-aware technique ensures adaptability to the user’s personalized privacy settings,and enables the LBS server to retrieve the minimal regional road-network and query results.Experimental results validate the algorithm’s effectiveness on LBS accuracy.