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Achieving Efficient Conjunctive Keyword Searches over Encrypted Data

机译:实现高效的结合关键字搜索加密数据

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We present two provably secure and efficient schemes for performing conjunctive keyword searches over symmetrically encrypted data. Our first scheme is based on Shamir Secret Sharing and provides the most efficient search technique in this context to date. Although the size of its trapdoors is linear in the number of documents being searched, we empirically show that this overhead remains reasonable in practice. Nonetheless, to address this limitation we provide an alternative based on bilinear pairings that yields constant size trapdoors. This latter construction is not only asymptotically more efficient than previous secure conjunctive keyword search schemes in the symmetric setting, but incurs significantly less storage overhead. Additionally, unlike most previous work, our constructions are proven secure in the standard model.
机译:我们为执行联合关键字进行了两个可透明的安全有效的方案,在对称加密数据上搜索。 我们的第一个计划是基于Shamir秘密共享,并在此背景下提供最有效的搜索技术。 虽然其陷波的大小在被搜查的文件数量中是线性的,但我们经验证明,这种开销在实践中仍然合理。 尽管如此,为了解决这一限制,我们提供基于双线性配对的替代方案,从而产生恒定的绒毛曲线。 后一种结构不仅比对称设置中的先前安全的联合关键字搜索方案渐近更有效,但遭遇显着较低的存储开销。 此外,与最先前的工作不同,我们的结构在标准模型中被证明是安全的。

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