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针对基于位置服务(LBS)应用中现有隐私保护方法受系统体系结构局限,提出了一种协作代理增量查询的LBS隐私保护方法:移动用户通过Chord协议自组织为P2P网络,同时采用簇节点状态维护机制,以及负载均衡机制来保证系统稳定,用户消费服务时,通过模糊自身真实位置,并在网络内选择协作意愿度高的代理用户,由其完成代理增量近邻查询.从理论上对P2P网络性能及算法效率进行了实验,结果表明:该方法在不牺牲服务质量的同时具有较高的计算效率,实现了隐私保护度与服务质量的平衡.
Aiming at the existing privacy protection methods based on location service (LBS), which is limited by the system architecture, this paper proposes a LBS privacy protection method based on collaborative proxy incremental inquiry: mobile users self-organize into P2P network through Chord protocol and cluster nodes State maintenance mechanism and load balancing mechanism to ensure the stability of the system. When the user consumes the service, he or she completes the proxy incremental neighbor query by obscuring the true position of the user and selecting the proxied users with high collaboration intention in the network. Theoretically, P2P network performance and algorithm efficiency. The experimental results show that this method has high computational efficiency without sacrificing quality of service, and achieves a balance between privacy protection and service quality.