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Encrypted Keyword Search Mechanism Based on Bitmap Index for Personal Storage Services

机译:基于位图索引的个人存储服务加密关键字搜索机制

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The remote storage service has been one of the most popular cloud services. However, outsourcing in the remote storage causes a privacy issue such as the exposure of personal data and the leakage of private information. In this paper, we focus on the encrypted keyword search problem, called searchable symmetric encryption in cryptography, to reserve the user privacy and the data confidentiality in cloud storage services. Even though many works have been introduced, they still suffer from limitations in their practical use due to high search costs and huge index size. We present a new keyword search mechanism based on the bitmap index that represents a set of files in the inverted index form. The proposed mechanism has fast search time and small index size compared with the previous works in practical use. We show that it can be directly applied to practical services by testing the known NoSQL database, Couch base.
机译:远程存储服务一直是最受欢迎的云服务之一。但是,远程存储的外包会引起隐私问题,例如个人数据的泄露和私人信息的泄漏。在本文中,我们将重点放在加密的关键字搜索问题上,即在密码学中称为可搜索对称加密,以保留云存储服务中的用户隐私和数据保密性。尽管已经引入了许多作品,但是由于高昂的搜索成本和巨大的索引规模,它们在实际使用中仍然受到限制。我们提出了一种新的基于位图索引的关键字搜索机制,该索引以倒排索引形式表示一组文件。与先前的实际工作相比,该机制具有更快的搜索时间和较小的索引大小。通过测试已知的NoSQL数据库Couch,我们证明了它可以直接应用于实际服务。

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