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

机译:快速关键词搜索的隐私保护公钥可搜索加密方案

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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:为了保持数据隐私和关键字搜索便利性之间的平衡,出现了可搜索的加密。在2017年,Huang等。引入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离线猜测来尝试使用给定活板门指定的关键字,并提出了一种名为“带有关键字搜索的公钥身份验证加密”的方案(HQ-PAEKS)来解决这个问题。但是,HQ-PAEKS的搜索复杂度与加密索引的总数成线性关系,因此可能无法满足实际应用的需求。本文结合了具有隐藏结构的公钥身份验证加密的思想,并提出了一种称为“具有快速关键字搜索的公钥身份验证加密”(PAEFKS)的实用方案,其中,云服务器的搜索复杂度与密钥数成线性关系。与数据用户发送的陷门匹配的加密索引。此外,通过安全性分析表明该方案可以很好地保护索引和关键字的隐私,而对真实数据集的实验表明该方案确实减少了云中关键字搜索计算的开销。

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