AgPrivacy:一种代理服务的LBS隐私保护方法

    AgPrivacy: A LBS Privacy Protective Method Based Agent Service

    • 摘要: 针对动态P2P环境中用户隐私保护效果与服务质量难以平衡的问题, 提出了一种位置隐私保护方法——AgPrivacy:在用户自组织的P2P网络中, 用户消费服务时, 首先对真实位置模糊化, 然后选择代理用户进行转发增量近邻查询.该方法通过切断消费用户与服务提供商间的直接关联, 保护用户隐私;同时为了提高系统服务质量, 引入通讯成本估算方法确定查询点, 采用Voronoi图技术过滤查询结果, 减少系统的通讯开销, 不仅从理论上分析了该方法具有较高的位置隐私保护效果, 而且通过实验与SpaceTwist算法进行了性能比较.实验结果表明:该方法具有较高的性能优势, 实现了隐私保护度与服务质量的平衡.

       

      Abstract: To achieve the balance between the degree of privacy protection and communication overhead of LBS (Location-based Service) in dynamic P2P (peer-to-peer) network, a location privacy-preserving technique was presented: mobile user regionalized his original position and selected a proxy node from self-organized P2P network when he consumed LBS service, and the selected node forwarded user's incremental nearest-neighbor query to LBS server. Meanwhile, the communication-cost estimation method and Voronoi technique were adopted to eliminate communication overhead. The experimental results validate the technique's effectiveness on LBS accuracy, privacy protection and communication QoS (Quality-of-Service) compared with SpaceTwist.

       

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