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Securely outsourcing the ciphertext-policy attribute-based encryption

机译:安全外包基于密文策略的基于属性的加密

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Attribute-based Encryption (ABE) is a new and promising public key encryption that allows fine-grained authorization on data based on user attributes. Such property is favorable for multiple applications that require encrypted storage or access control on data, in particular: eHealth applications. However, ABE schemes are known not to be efficient in the encryption phase because ciphertext size and the time required to encrypt grow with the complexity of the access policy. Such drawback is critical in the context of pervasive computing, for instance, in the Internet of Things, where data producers are usually resource-constrained devices, e.g. smart phones or sensing platforms. In this work, we propose OEABE standing for Outsourcing mechanism for the Encryption of Ciphertext-Policy ABE (CP-ABE). We show how a user can offload expensive operations of CP-ABE encryption to a semi-trusted party in a secure manner. Our proposed mechanism requires only one exponentiation on resource-constrained devices. We provide also an informal security analysis of possible attacks from a semi-honest adversary against the proposed solution. To demonstrate the performance gains of our mechanism, we first conducted a performance estimation on an emulated Wismote sensor platform. Then, we implemented our proposal and did comparison to an existing implementation of CP-ABE on a laptop.
机译:基于属性的加密(ABE)是一种新的很有前途的公钥加密,它允许基于用户属性对数据进行细粒度的授权。对于需要加密存储或对数据进行访问控制的多个应用程序(尤其是eHealth应用程序),此属性非常有用。但是,已知ABE方案在加密阶段效率不高,因为密文大小和加密所需的时间会随着访问策略的复杂性而增长。在普适计算的背景下,例如在物联网中,数据产生者通常是资源受限的设备,例如数据仓库,这种缺点是至关重要的。智能手机或感应平台。在这项工作中,我们建议OEABE代表密文策略ABE加密(CP-ABE)的外包机制。我们展示了用户如何以安全的方式将昂贵的CP-ABE加密操作分担给半受信方。我们提出的机制只需要对资源受限的设备进行一次幂运算。我们还提供了针对半诚实对手针对拟议解决方案可能的攻击的非正式安全分析。为了演示我们的机制的性能提升,我们首先在仿真的Wismote传感器平台上进行了性能评估。然后,我们实施了我们的建议,并与笔记本电脑上现有的CP-ABE实施进行了比较。

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