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

Meng Wu, Xiaolei Dong, Z. Cao, Jiachen Shen
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Abstract

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.
一种具有快速关键字搜索的保密公钥可搜索加密方案
可搜索加密是为了在数据隐私和关键词搜索便利性之间保持平衡而出现的。2017年,Huang等人引入了内部关键字猜测攻击(IKGA)的概念,即内部攻击者可以通过离线猜测来尝试给定陷阱门指定的关键字,并提出了公钥认证加密与关键字搜索(HQ-PAEKS)方案来解决这一问题。然而,HQ-PAEKS的搜索复杂度与加密索引总数呈线性关系,可能无法满足实际应用的需求。本文将公钥认证加密思想与隐藏结构相结合,提出了一种实用的公钥认证加密与快速关键字搜索(PAEFKS)方案,该方案对云服务器的搜索复杂度与数据用户发送的与trapdoor匹配的加密索引的数量呈线性关系。此外,本文还进行了安全性分析,表明该方案能够很好地保护索引和关键字隐私,在真实数据集上的实验表明,该方案确实降低了云环境下关键字搜索计算的开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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