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Privacy-Preserving and Efficient Public Key Encryption with Keyword Search Based on CP-ABE in Cloud

机译:基于CP-ABE在云中的CP-ABE中的密钥搜索保护和高效公钥加密

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In the area of searchable encryption, public key encryption with keyword search (PEKS) has been a critically important and promising technique which provides secure search over encrypted data in cloud computing. PEKS can protect user data privacy without affecting the usage of the data stored in the untrusted cloud server environment. However, most of the existing PEKS schemes concentrate on data users’ rich search functionalities, regardless of their search permission. Attribute-based encryption technology is a good method to solve the security issues, which provides fine-grained access control to the encrypted data. In this paper, we propose a privacy-preserving and efficient public key encryption with keyword search scheme by using the ciphertext-policy attribute-based encryption (CP-ABE) technique to support both fine-grained access control and keyword search over encrypted data simultaneously. We formalize the security definition, and prove that our scheme achieves selective indistinguishability security against an adaptive chosen keyword attack. Finally, we present the performance analysis in terms of theoretical analysis and experimental analysis, and demonstrate the efficiency of our scheme.
机译:在可搜索的加密领域,具有关键字搜索(PEKS)的公钥加密是一种批判性和有希望的技术,它提供了在云计算中加密数据的安全搜索。 PEKS可以保护用户数据隐私,而不会影响存储在不受信任的云服务器环境中的数据的使用情况。但是,大多数现有的PEKS方案集中在数据用户和rsquo上;丰富的搜索功能,无论他们的搜索权限如何。基于属性的加密技术是解决安全问题的好方法,它为加密数据提供了细粒度的访问控制。在本文中,我们通过使用基于密文 - 策略属性的加密(CP-AP-ABE)技术来支持与关键字搜索方案的隐私保留和有效的公钥加密,以支持同时对加密数据的细粒度访问控制和关键字搜索。我们正规化安全定义,并证明我们的计划达到了适应性所选择的关键字攻击的选择性欺诈性安全性。最后,我们在理论分析和实验分析方面提出了性能分析,并展示了我们计划的效率。

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