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Privacy Preserving Dynamically Indexed Multi-Phrase Search over Encrypted Data

机译:隐私保留动态索引的多字母搜索加密数据

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With the widespread usage of Cloud Computing model in business, organizations prefer to outsource their data to the cloud. In order to preserve confidentiality of data, the data is encrypted before being outsourced. In order to use this encrypted data in decision making, symmetric searchable encryption is employed that enables users to fetch data matching the keywords over encrypted data without decrypting the data. Many existing schemes search for a single keyword without an index, leading to search time linear to the size of data. And moreover, support for multiple keyword searches or phrase search is also a trending challenge in the field of searchable encryption. In this paper, we extend the practical techniques for searches on encrypted data proposed by Song, et.al, by improving the search efficiency with help of an encrypted and dynamic index. We use a very efficient structure to enable dynamic updates to the index in event of changes to the encrypted dataset. Our proposed scheme is the first one to use such a simple yet update-efficient structure for index. Multi-phrase search being implemented helps in obtaining most representative documents for searches, especially in mobile devices. We also implemented and analyzed efficiency of Song et al scheme, which is one of the pioneering works in field of searchable encryption. Security analysis and extensive experiments were conducted to test the security guarantees and efficiency of the proposed extensions.
机译:随着云计算模型的广泛使用,组织更愿意将其数据外包给云。为了保留数据的机密性,数据在外包之前被加密。为了使用决策中的这种加密数据,采用对称搜索的加密,其使用户能够在不解密数据的情况下获取与加密数据过的关键字匹配的数据。许多现有计划在没有索引的情况下搜索单个关键字,导致搜索时间线性到数据大小。此外,对多个关键字搜索或短语搜索的支持也是可搜索加密领域的趋势挑战。在本文中,我们通过在加密和动态索引的帮助下提高搜索效率,扩展了搜索歌曲et.al提出的加密数据的实用技术。我们使用非常有效的结构,以便在进入加密数据集的情况下启用对索引的动态更新。我们所提出的计划是第一个用于使用这种简单且更新的索引结构的结构。正在实现的多字搜索有助于获得用于搜索的大多数代表文档,尤其是在移动设备中。我们还实施了并分析了歌曲等人计划的效率,这是搜索加密领域的开创性工作之一。进行安全分析和广泛的实验,以测试建议扩展的安全保证和效率。

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