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VD-PSI : verifiable delegated private set intersection on outsourced private datasets

机译:VD-PSI:外包私有数据集上可验证的委托私有集交集

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摘要

Private set intersection (PSI) protocols have many real world applications. With the emergence of cloud computing the need arises for PSI protocols on outsourced datasets where the computation is delegated to the cloud. However, due to the possibility of cloud misbehaviors, it is essential to verify the correctness of any delegated computation, and the integrity of any outsourced datasets. Verifiable Computation on private datasets that does not leak any information about the data is very challenging, especially when the datasets are outsourced independently by different clients. In this paper we present VD-PSI, a protocol that allows multiple clients to outsource their private datasets and delegate computation of set intersection to the cloud, while being able to verify the correctness of the result. Clients can independently prepare and upload their datasets, and with their agreement can verifiably delegate the computation of set intersection an unlimited number of times, without the need to download or maintain a local copy of their data. The protocol ensures that the cloud learns nothing about the datasets and the intersection. VD-PSI is efficient as its verification cost is linear to the intersection cardinality, and its computation and communication costs are linear to the dataset cardinality. Also, we provide a formal security analysis in the standard model.
机译:专用集交叉点(PSI)协议在现实世界中有许多应用。随着云计算的出现,需要在外包数据集上使用PSI协议,其中将计算委托给云。但是,由于存在云计算异常的可能性,因此必须验证任何委托计算的正确性以及任何外包数据集的完整性。在不泄漏任何数据信息的情况下,对私有数据集进行可验证计算是非常具有挑战性的,特别是当数据集由不同客户端独立外包时。在本文中,我们提出了VD-PSI,该协议允许多个客户端外包其私有数据集并将集合相交的计算委托给云,同时能够验证结果的正确性。客户可以独立地准备和上传其数据集,并且在他们的同意下可以无限制地验证集合路口的计算,而无需下载或维护其数据的本地副本。该协议可确保云对数据集和交集一无所知。 VD-PSI的验证成本与交集基数成线性关系,而其计算和通信成本与数据集基数成线性关系,因此它是高效的。此外,我们在标准模型中提供了正式的安全性分析。

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