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A secure and efficient outsourced computation on data sharing scheme for privacy computing

机译:安全高效的数据共享方案外包计算,用于隐私计算

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With the development of computer technology, it makes malicious users more easily get data stored in cloud. However, these data are always related to users' privacy, and it is harmful when the data are acquired by attackers. Ciphertext-policy attribute-based encryption (CP-ABE) is suitable to achieve privacy and security in cloud. In this paper, we put forward a secure and efficient outsourced computation algorithm on data sharing scheme for privacy computing. Existing schemes only outsource decryption computation to the cloud, users still have heavy burden in encryption. In order to reduce the computing burden of users, most encryption and decryption computations are outsourced to the cloud service provider in our construction. At the same time, to apply in practice, we propose efficient user and attribute revocation. Finally, the security analysis and simulation results show that our scheme is secure and efficient compared with existing schemes. (C) 2019 Elsevier Inc. All rights reserved.
机译:随着计算机技术的发展,它使恶意用户更容易获得存储在云中的数据。但是,这些数据始终与用户的隐私有关,并且在攻击者获取数据时有害。基于密文策略的基于属性的加密(CP-ABE)适合在云中实现隐私和安全性。本文针对隐私计算中的数据共享方案提出了一种安全高效的外包计算算法。现有方案仅将解密计算外包给云,用户在加密方面仍然负担沉重。为了减轻用户的计算负担,在我们的架构中,大多数加密和解密计算都外包给了云服务提供商。同时,为了在实践中应用,我们提出了有效的用户和属性撤销的建议。最后,安全性分析和仿真结果表明,与现有方案相比,该方案安全有效。 (C)2019 Elsevier Inc.保留所有权利。

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