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A Privacy Preserving Public-Key Searchable Encryption Scheme with Fast Keyword Search

机译:保留具有快速关键字搜索的公钥可搜索加密方案的隐私

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Searchable encryption has emerged in order to maintain the balance between data privacy and convenience of keyword search. In 2017, Huang et al. introduced the notion of inside keyword guessing attack (IKGA), which means the inside adversary could try out the keyword specified by a given trapdoor by guessing offline and proposed a scheme called Public-key Authenticated Encryption with Keyword Search (HQ-PAEKS) to solve this problem. However, the search complexity of HQ-PAEKS is linear to the total number of the encrypted indexes and may be not in a position to meet the demand of practical application. This paper combines the idea of Public-key Authenticated Encryption with hidden structure and proposes a practical scheme called Public-key Authenticated Encryption with Fast Keyword Search (PAEFKS), in which the search complexity for the cloud server presents linear relation with the number of the encrypted indexes matching the trapdoor sent from the data user. In addition, it gives security analysis to show that the scheme could protect index and keyword privacy well and experiments on real-world data sets show that the scheme indeed reduces the overhead on keyword search computation in the cloud.
机译:搜索可搜索的加密,以便在数据隐私和关键字搜索方便之间保持平衡。 2017年,黄等人。介绍了内部关键字猜测攻击(IKGA)的概念,这意味着内部对手可以通过猜测脱机,并提出一个名为公钥经过认证加密的方案来解决与关键字搜索(HQ-Peek)来解决的方案这个问题。然而,HQ-PAEK的搜索复杂性是加密索引的总数的线性,并且可能不处于满足实际应用需求的位置。本文将公钥经过身份验证加密的思想与隐藏结构组合起来,提出了一种具有快速关键字搜索(Paefks)的公钥认证加密的实用方案,其中云服务器的搜索复杂性与...的搜索复杂性呈现线性关系加密索引与数据用户发送的陷阱匹配。此外,它还提供了安全分析,表明该方案可以保护索引和关键字隐私良好以及实际数据集的实验表明,该方案确实减少了云中的关键字搜索计算上的开销。

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