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PIC: Enable Large-Scale Privacy Preserving Content-Based Image Search on Cloud

机译:PIC:启用大规模隐私保护,在云上保留基于内容的图像搜索

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摘要

Many cloud platforms emerge to meet urgent requirements for large-volume personal image store, sharing and search. Though most would agree that images contain rich sensitive information (e.g., people, location and event) and people’s privacy concerns hinder their participation into untrusted services, today’s cloud platforms provide little support for image privacy protection. Facing large-scale images from multiple users, it is extremely challenging for the cloud to maintain the index structure and schedule parallel computation without learning anything about the image content and indices. In this work, we introduce a novel system PIC: A Privacy-preserving Image search system on Cloud, which is a step towards feasible cloud services which provide secure content-based large-scale image search with fine-grained access control. Users can search on others’ images if they are authorized by the image owners. Majority of the computationally intensive jobs are handled by the cloud, and a querier can now simply send the query and receive the result. Specially, to deal with massive images, we design our system suitable for distributed and parallel computation and introduce several optimizations to further expedite the search process. Our security analysis and prototype system evaluation results show that PIC successfully protects the image privacy at a low cost of computation and communication.
机译:许多云平台应运而生,以满足对大量个人图像存储,共享和搜索的迫切需求。尽管大多数人都同意图像包含丰富的敏感信息(例如,人,位置和事件),并且人们的隐私问题阻碍了他们参与不受信任的服务,但是当今的云平台几乎不提供对图像隐私保护的支持。面对来自多个用户的大规模图像,云对于维护索引结构和调度并行计算而不了解图像内容和索引有什么挑战。在这项工作中,我们介绍了一种新颖的系统PIC:一种在云上保存隐私的图像搜索系统,这是朝着可行的云服务迈出的一步,该服务提供了具有细粒度访问控制的基于内容的安全大规模图像搜索。如果用户获得了图片所有者的授权,则可以搜索其他图片。大多数计算密集型作业由云处理,查询器现在可以简单地发送查询并接收结果。特别地,为处理海量图像,我们设计了适用于分布式和并行计算的系统,并引入了一些优化措施以进一步加快搜索过程。我们的安全性分析和原型系统评估结果表明,PIC以较低的计算和通信成本成功地保护了图像隐私。

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