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Research on Ciphertext-Policy Attribute-Based Encryption with Attribute Level User Revocation in Cloud Storage

机译:云存储中基于属性级别用户撤销的基于密文策略属性的加密研究

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摘要

Attribute-based encryption (ABE) scheme is more and more widely used in the cloud storage, which can achieve fine-grained access control. However, it is an important challenge to solve dynamic user and attribute revocation in the original scheme. In order to solve this problem, this paper proposes a ciphertext-policy ABE (CP-ABE) scheme which can achieve attribute level user attribution. In this scheme, if some attribute is revoked, then the ciphertext corresponding to this attribute will be updated so that only the individuals whose attributes meet the access control policy and have not been revoked will be able to carry out the key updating and decrypt the ciphertext successfully. This scheme is proved selective-structure secure based on the q-Parallel Bilinear Diffie-Hellman Exponent (BDHE) assumption in the standard model. Finally, the performance analysis and experimental verification have been carried out in this paper, and the experimental results show that, compared with the existing revocation schemes, although our scheme increases the computational load of storage service provider (CSP) in order to achieve the attribute revocation, it does not need the participation of attribute authority (AA), which reduces the computational load of AA. Moreover, the user does not need any additional parameters to achieve the attribute revocation except for the private key, thus saving the storage space greatly.
机译:基于属性的加密(ABE)方案在云存储中越来越广泛地使用,它可以实现细粒度的访问控制。但是,解决原始方案中的动态用户和属性吊销是一个重要的挑战。为了解决这个问题,本文提出了一种可以实现属性级用户归属的密文策略ABE(CP-ABE)方案。在此方案中,如果某个属性被撤消,则将更新与该属性相对应的密文,以便只有其属性符合访问控制策略但尚未被撤消的个人才能够进行密钥更新和解密密文。成功。在标准模型中,基于q-平行双线性Diffie-Hellman指数(BDHE)假设证明了该方案的安全性。最后,本文进行了性能分析和实验验证,实验结果表明,与现有的吊销方案相比,尽管我们的方案增加了存储服务提供商(CSP)的计算负荷以实现该属性。撤销后,它不需要属性授权(AA)的参与,从而减少了AA的计算量。而且,除了私钥之外,用户不需要任何其他参数即可实现属性撤销,从而大大节省了存储空间。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|4070616.1-4070616.12|共12页
  • 作者

    Wang Guangbo; Wang Jianhua;

  • 作者单位

    Zhengzhou Informat Sci & Technol Inst, Zhengzhou 450004, Henan, Peoples R China;

    Zhengzhou Informat Sci & Technol Inst, Zhengzhou 450004, Henan, Peoples R China;

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