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An Efficient Ciphertext Policy-Attribute Based Encryption for Big Data Access Control in Cloud Computing

机译:云计算中基于高效密文策略属性的大数据访问控制加密

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Big data refer to the variety of the massive amount and the velocity of the data. The traditional databases are not suitable to store the big data because of huge volume. The cloud computing is a best and optimal choice to store and process the big data. However, there is an important issue to be addressed before storing the big data into the cloud that is maintaining the privacy and access control, in which the data must encrypt and restrict the unauthorized user access by providing effective access control. Ciphertext Policy-Attribute Based Encryption (CP-ABE) is a promising technique to provide both encryption and effective access control. The existing CP-ABE schemes are not apt for big data in cloud since it creates heavy computation overhead. In this paper, we propose an efficient ciphertext policy attribute based encryption scheme with less computation overhead in the encryption process by providing the short ciphertext and reducing the decryption time by minimizing the pairing operations required. Through the security analysis we demonstrate that our design is secure under chosen-plaintext attack and user collusion attack. The performance analysis proves that our scheme is efficient when compared with existing schemes.
机译:大数据是指海量数据的数量和速度的变化。传统的数据库由于数量庞大,不适合存储大数据。云计算是存储和处理大数据的最佳选择。但是,在将大数据存储到保持隐私和访问控制的云中之前,有一个重要的问题需要解决,其中,数据必须通过提供有效的访问控制来加密和限制未经授权的用户访问。基于密文策略策略属性的加密(CP-ABE)是一种有前途的技术,可同时提供加密和有效的访问控制。现有的CP-ABE方案不适合云中的大数据,因为它会产生大量的计算开销。在本文中,我们提出了一种有效的基于密文策略属性的加密方案,通过提供较短的密文并通过最小化所需的配对操作来减少解密时间,从而在加密过程中减少了计算开销。通过安全性分析,我们证明了我们的设计在选择明文攻击和用户串通攻击下是安全的。性能分析证明,与现有方案相比,该方案是有效的。

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