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首页> 外文会议>British National Conference on Databases(BNCOD 23); 20060718-23; Belfast(GB) >Privacy Preservation and Protection by Extending Generalized Partial Indices
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Privacy Preservation and Protection by Extending Generalized Partial Indices

机译：通过扩展广义局部索引来保护和保护隐私

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摘要

Privacy violation has attracted more and more attention from the public, and privacy preservation has become a hot topic in academic communities, industries and societies. Recent research has been focused on purpose-based techniques and models with little consideration on balancing privacy enhancement and performance. We propose an efficient Privacy Aware Partial Index (PAPI) mechanism based on both the concept of purposes and the theory of partial indices. In the PAPI mechanism, all purposes are independent from each other and organized in a flatten purpose tree(FPT). Thus, security administrators can update the flatten purpose tree by adding or deleting purposes. Intended purposes are maintained in PAPI directly. Furthermore, based on the PAPI mechanism, we extend the existing query optimizer and executor to enforce the privacy policies. Finally, the experimental results demonstrate the feasibility and efficiency of the PAPI mechanism.
机译：侵犯隐私权已引起越来越多的公众关注，隐私保护已成为学术界，行业和社会的热门话题。最近的研究集中在基于目的的技术和模型上，很少考虑平衡隐私增强和性能。我们基于目的概念和部分索引理论，提出了一种有效的隐私感知部分索引（PAPI）机制。在PAPI机制中，所有目的彼此独立，并组织在一个扁平目的树（FPT）中。因此，安全管理员可以通过添加或删除目的来更新扁平化目的树。预期目的直接在PAPI中维护。此外，基于PAPI机制，我们扩展了现有的查询优化器和执行器以实施隐私策略。最后，实验结果证明了PAPI机制的可行性和有效性。

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