论文标题
治愈隐私：功能性加密和保护分析
Heal the Privacy: Functional Encryption and Privacy-Preserving Analytics
论文作者
论文摘要
安全云存储是一个至关重要的问题，在将数据移至可能不受信任的云之前，企业和最终用户都应考虑到这两个问题。将数据迁移到云中会引发多个隐私问题，因为它们完全由云提供商控制。因此，不受信任的云提供商可能会违反用户；隐私并访问敏感信息。当需要提供者存储统计数据库并定期发布分析时，问题就变得更加明显。在这项工作中，我们首先提出一个详细的例子，表明使用密码学不足以确保个人的隐私。然后，我们基于功能加密和差异隐私设计了一个混合协议，该协议允许以隐私性的方式计算统计信息。
Secure cloud storage is an issue of paramount importance that both businesses and end-users should take into consideration before moving their data to, potentially, untrusted clouds. Migrating data to the cloud raises multiple privacy issues, as they are completely controlled by a cloud provider. Hence, an untrusted cloud provider can potentially breach users; privacy and gain access to sensitive information. The problem becomes even more pronounced when the could provider is required to store a statistical database and periodically publish analytics. In this work, we first present a detailed example showing that the use of cryptography is not enough to ensure the privacy of individuals. Then, we design a hybrid protocol based on Functional Encryption and Differential Privacy that allows the computations of statistics in a privacy-preserving way.
