基于同态加密的数据库密文检索研究

Zhibing Gong, Youan Xiao, Yihong Long, Yanli Yang
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引用次数: 5

摘要

提出了一种基于同态加密的服务器端结构化数据库安全检索方案。利用该方案的优点,可以在不可靠的存储环境下,在不暴露明文的情况下,有效地检索服务器中的密文。用户还可以详细访问他们的数据。针对数据库中的字符数据,提出了一种基于同态加密的数据加解密算法。服务器端可以直接对密文数据进行计算和操作。针对密文数据的等效检索,提出了一种基于同态加密的等效检索算法,可以有效地减少返回给客户端的数据量,提高检索效率。针对字符数据的模糊检索,提出了一种基于双编码函数的上限计数联合索引生成算法,提高了服务器对无关数据的过滤效率,减少了时间和空间的浪费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on database ciphertext retrieval based on homomorphic encryption
This paper proposes a secure retrieval scheme based on homomorphic encryption for the server-side structured database. With the advantage of this scheme, ciphertext in server under unreliable storage circumstance can be efficiently retrieved without exposition of plaintext. Users can also have detailed access to their data. In this paper, a data encryption and decryption algorithm based on homomorphic encryption is proposed for character data in database. Server can calculate and operate the ciphertext data directly. An equivalent retrieval algorithm based on homomorphic encryption is proposed for equivalent retrieval of ciphertext data, which can effectively reduce the amount of data returned to the client and improve the retrieval efficiency. A counting joint index generation algorithm with upper limit based on dual encoding function is proposed for fuzzy retrieve of character data which can improve the efficiency of the server's filtering of the irrelevant data and reduce the waste of time and space.
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