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A Key-Policy Attribute-Based Temporary Keyword Search scheme for Secure Cloud Storage

机译:安全云存储基于键策略属性的临时关键字搜索方案

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摘要

Temporary keyword search on confidential data in a cloud environment is the main focus of this research. The cloud providers are not fully trusted. So, it is necessary to outsource data in the encrypted form. In the attribute-based keyword search (ABKS) schemes, the authorized users can generate some search tokens and send them to the cloud for running the search operation. These search tokens can be used to extract all the ciphertexts which are produced at any time and contain the corresponding keyword. Since this may lead to some information leakage, it is more secure to propose a scheme in which the search tokens can only extract the ciphertexts generated in a specified time interval. To this end, in this paper, we introduce a new cryptographic primitive called key-policy attribute-based temporary keyword search (KP-ABTKS) which provide this property. To evaluate the security of our scheme, we formally prove that our proposed scheme achieves the keyword secrecy property and is secure against selectively chosen keyword attack (SCKA) both in the random oracle model and under the hardness of Decisional Bilinear Diffie-Hellman (DBDH) assumption. Furthermore, we show that the complexity of the encryption algorithm is linear with respect to the number of the involved attributes. Performance evaluation shows our scheme's practicality.
机译:临时关键字在云环境中查找机密数据是本研究的主要重点。云提供商不完全信任。因此,有必要以加密的形式外包数据。在基于属性的关键字搜索(ABK)方案中,授权用户可以生成一些搜索令牌并将它们发送到云以运行搜索操作。这些搜索令牌可用于提取任何时间生成的所有密文并包含相应的关键字。由于这可能导致一些信息泄漏,提出了一种提出搜索令牌只能提取在指定的时间间隔中生成的密文的方案更安全。为此,在本文中,我们介绍了一个新的加密原语,称为基于键策略属性的临时关键字搜索(kp-abtks)提供此属性。为了评估我们的计划的安全性,我们正式证明我们的拟议计划实现了关键字保密性财产,并在随机甲骨文模型和决定性Bilinear Diffie-Hellman(DBDH)的硬度下是安全的选择性选择性的关键字攻击(SCKA)。假设。此外,我们表明加密算法的复杂性是关于所涉及的属性的数量的线性。绩效评估表明我们的计划实用性。

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