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Cloud-aided online/offline ciphertext-policy attributebased encryption in the standard model

机译:标准模型中基于云的在线/离线密文策略基于属性的加密

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摘要

Attribute-Based Encryption (ABE) is a useful encryption method that allows users to encrypt messages based on their attributes. However, the computational cost of ABE system is very high, because it often scales with the number of attributes. This makes ABE difficult to apply in practice. In this paper, we use the cloud computing technology as well as pre-computing technology to solve this problem, and introduce the cloud-aided online/offline ciphertext-policy ABE system. In this system, Private Key Generator (PKG) could per-compute intermediate keys offline before online key generation phase, encryptor could pre-compute intermediate ciphertexts offline before online encryption phase, and decryptor could call their cloud computing servers to transform the ciphertexts to the partially decrypted ciphertexts before decryption phase. This greatly reduces the local computational cost of these three phases. It is significant for mobile devices to use ABE. Then, we propose a specific scheme, and prove its adaptive security in the standard model. Finally, we introduce how to deploy our new scheme in the mobile cloud computing environment.
机译:基于属性的加密(ABE)是一种有用的加密方法,它允许用户根据其属性对消息进行加密。但是,ABE系统的计算成本非常高,因为它通常随属性的数量而扩展。这使ABE难以实际应用。在本文中,我们使用云计算技术和预计算技术来解决此问题,并介绍了云辅助的在线/离线密文策略ABE系统。在该系统中,私钥生成器(PKG)可以在在线密钥生成阶段之前离线计算中间密钥,加密器可以在在线加密阶段之前离线计算中间密文,解密器可以调用其云计算服务器将密文转换为密码。在解密阶段之前部分解密密文。这大大降低了这三个阶段的本地计算成本。对于移动设备使用ABE具有重要意义。然后,我们提出了一种特定的方案,并在标准模型中证明了其自适应安全性。最后,我们介绍如何在移动云计算环境中部署我们的新方案。

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