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On Cloaking Sensitive Pattern Sets for Long-Term LBS Applications

机译:关于长期LBS应用程序的隐藏敏感模式集

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To protect privacy for long-term LBS users, we propose a pattern-based privacy preserving LBS system that incorporate a privacy preserving server to handle the privacy protection affairs for all registered users. We formulate the p3 problem for long-term LBS and propose the APP algorithm that iteratively identify sensitive patterns and replace a sensitive pattern with an SPSC region. To prevent adversaries culling out user's patterns, for a sensitive pattern, we define a Secure Pattern-Safe-Cloak (SPSC) region that is a rectangle area containing at least other$pmb{l}-mathbf{1}$companion patterns to conceal the sensitive one. The experimental results show that the p3 problem is very common and the proposed the system is useful and feasible.
机译:为了保护长期LBS用户的隐私,我们提出了一种基于模式的隐私保护LBS系统,该系统结合了一个隐私保护服务器来处理所有注册用户的隐私保护事务。我们为长期LBS制定了p3问题,并提出了APP算法,该算法可迭代地识别敏感模式并用SPSC区域替换敏感模式。为了防止对手淘汰用户的模式,对于敏感模式,我们定义了一个安全模式-安全-隐藏(SPSC)区域,该区域是一个至少包含其他区域的矩形区域 $ \ pmb {l}- \ mathbf {1} $ 陪伴模式掩盖了敏感的一面。实验结果表明,p3问题非常普遍,所提出的系统是实用可行的。

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