灵活、安全地塑造向他人披露的数据

Qingqing Xie, Yantian Hou, Ke Cheng, Gaby G. Dagher, Liangmin Wang, Shucheng Yu
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引用次数: 1

摘要

这项工作是为了增强现有的细粒度访问控制,以支持对算术运算结果更具表现力的访问策略。我们的目标是使数据所有者能够根据给定的访问控制策略灵活地将用户的身份与其授权的访问目标绑定,这表明一段数据如何被不同的噪声混淆。为此,我们设计了一种加密原语,将噪声数据解耦为两个组件,一个与用户身份相关,另一个共享并动态变化,并在用户端评估和显示这两个组件的组合。采用基于博弈的方法正式证明了该方案的安全性。我们在商业云平台上实现了我们的系统,并使用了大量的实验来验证其功能和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexibly and Securely Shape Your Data Disclosed to Others
This work is to enhance existing fine-grained access control to support a more expressive access policy over arithmetic operation results. We aim to enable data owners to flexibly bind a user's identity with his/her authorized access target according to a given access control policy, which indicates how a piece of data obfuscated by different noises. To this end, we design a cryptographic primitive that decouples the noisy data to two components, one associated with user identity, and the other one shared and dynamically changes, with the composite of these two components evaluated and revealed at user sides. The security of our scheme is formally proven using game based approach. We implement our system on a commercial cloud platform and use extensive experiments to validate its functionality and performance.
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