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Towards Secure Data Retrieval for Multi-Tenant Architecture Using Attribute-Based Key Word Search

机译:使用基于属性的关键字搜索实现多租户体系结构的安全数据检索

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Searchable encryption mechanism and attribute-based encryption (ABE) are two effective tools for providing fine-grained data access control in the cloud. Researchers have also taken their advantages to present searchable encryption schemes based on ABE and have achieved significant results. However, most of the existing key word search schemes based on ABE lack the properties of key exposure protection and highly efficient key updating when key leakage happens. To better tackle these problems, we present a key insulated attribute-based data retrieval scheme with key word search (KI-ABDR-KS) for multi-tenant architecture. In our scheme, a data owner can make a self-centric access policy of the encrypted data. Only when the possessing attributes match with the policy can a receiver generate a valid trapdoor and search the ciphertext. The proposed KI-ABDR-KS also provides full security protection when key exposure happens, which can minimize the damage brought by key exposure. Furthermore, the system public parameters remain unchanged during the process of key updating; this will reduce the considerable overheads brought by parameters synchronization. Finally, our KI-ABDR-KS is proven to be secure under chosen-keyword attack and achieves better efficiency compared to existing works.
机译:可搜索加密机制和基于属性的加密(ABE)是用于在云中提供细粒度数据访问控制的两个有效工具。研究人员还利用其优势提出了基于ABE的可搜索加密方案,并取得了显著成果。然而,大多数现有的基于ABE的关键词搜索方案都缺乏密钥暴露保护和密钥泄漏发生时高效的密钥更新特性。为了更好地解决这些问题,我们提出了一种针对多租户架构的带有关键字搜索(KI-ABDR-KS)的基于关键绝缘属性的数据检索方案。在我们的方案中,数据所有者可以对加密数据制定以自我为中心的访问策略。仅当拥有属性与策略匹配时,接收方才能生成有效的陷门并搜索密文。拟议的KI-ABDR-KS还可以在发生密钥暴露时提供全面的安全保护,从而可以最大程度地减少密钥暴露带来的损害。此外,在密钥更新过程中,系统公共参数保持不变。这将减少参数同步带来的大量开销。最后,我们的KI-ABDR-KS被证明在选择关键字攻击下是安全的,并且与现有作品相比,具有更高的效率。

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