基于授权属性的加密策略更新多关键字搜索

M. Ali, Chungen Xu, Abid Hussain
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引用次数: 3

摘要

:基于属性的加密是一种加密技术,为云存储中的加密数据内容提供灵活的数据访问控制。每个受信任的机构都需要对用户的属性进行适当的管理和分发密钥。但是,现有的方案不能应用于只支持单个关键字搜索的多个权限,多关键字搜索计算量大,属性撤销效率低。本文提出了一种基于密文策略属性的加密(CP-ABE)方案,该方案通过在多个权威和中心权威下的新策略更新羽毛来实现多关键字搜索和属性撤销。数据所有者在初始访问策略下对关键字索引进行加密。此外,本文还进一步讨论了诸如数据访问、搜索策略和对未授权用户的机密性等问题。最后,利用DBDH和DLIN假设对一般群模型中的选关键词攻击和搜索陷阱门进行了正确性分析、性能分析和安全性证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Authorized Attribute-Based Encryption Multi-Keywords Search with Policy Updating
: Attribute-based encryption is cryptographic techniques that provide flexible data access control to encrypted data content in cloud storage. Each trusted authority needs proper management and distribution of secret keys to the user’s to only authorized user’s attributes. However existing schemes cannot be applied multiple authority that supports only a single keywords search compare to multi keywords search high computational burden or inefficient attribute’s revocation. In this paper, a ciphertext policy attribute-based encryption (CP-ABE) scheme has been proposed which focuses on multi-keyword search and attribute revocation by new policy updating feathers under multiple authorities and central authority. The data owner encrypts the keywords index under the initial access policy. Moreover, this paper addresses further issues such as data access, search policy, and confidentiality against unauthorized users. Finally, we provide the correctness analysis, performance analysis and security proof for chosen keywords attack and search trapdoor in general group model using DBDH and DLIN assumption.
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