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Privacy Preserving Dynamically Indexed Multi-Phrase Search over Encrypted Data

机译:隐私保护对加密数据进行动态索引的多词搜索

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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:随着云计算模型在企业中的广泛使用,组织倾向于将其数据外包给云。为了保护数据的机密性,在外包数据之前先对其进行加密。为了在决策中使用此加密数据,采用了对称可搜索加密,使用户能够在加密数据上获取与关键字匹配的数据而无需解密该数据。许多现有方案都在搜索没有索引的单个关键字,从而导致搜索时间与数据大小成线性关系。而且,在可搜索加密领域,对多个关键字搜索或短语搜索的支持也是一个趋势挑战。在本文中,我们扩展了Song等人提出的对加密数据进行搜索的实用技术,并借助加密和动态索引来提高搜索效率。我们使用非常有效的结构,以在加密数据集发生更改的情况下对索引进行动态更新。我们提出的方案是第一个将这种简单但更新有效的结构用于索引的方案。正在实施的多阶段搜索有助于获得最具代表性的搜索文档,尤其是在移动设备中。我们还实现并分析了Song等人方案的效率,这是可搜索加密领域的开创性工作之一。进行了安全性分析和广泛的实验,以测试所提议扩展的安全性保证和效率。

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