Publicly verifiable delegation of set intersection

Tingting Wang, Yanqin Zhu, Xizhao Luo
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引用次数: 3

Abstract

We study the verifiable delegation of set intersection in the model of authenticated data structures, where a weak client in storage and computation stores its dataset composed of some sets into a powerful server. The client can issue update and set intersection query over outsourced data. The server returns the result and a proof of its correctness. Our scheme allows any entity to publicly verify the correctness of set intersection query, and requires no secret key. Based on characteristic polynomials of sets, our authenticated data structure firstly provides a practical and specific method for set intersection through polynomial evaluations. It achieves optimal verification and proof complexity, as well as optimal update complexity without bearing any extra space overhead. The overhead for computing actual answer and proofs is reduced significantly in contrast with previous methods based on bilinear-map accumulators. The intersection query comes up in keyword search, database queries and other applications. Indeed, our scheme can be effectively used in such scenarios. The security of our constructions is based on co-Computational Diffie-Hellman assumption.
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集合交集的公开可验证委托
研究了认证数据结构模型中集合交集的可验证委托问题,其中存储和计算的弱客户端将由若干集合组成的数据集存储到一个强大的服务器中。客户端可以对外包数据发出更新和设置交集查询。服务器返回结果并证明其正确性。我们的方案允许任何实体公开验证集合交叉查询的正确性,并且不需要密钥。基于集合的特征多项式,我们的认证数据结构首次通过多项式求值为集合相交提供了一种实用而具体的方法。它实现了最佳的验证和证明复杂性,以及最佳的更新复杂性,而无需承担任何额外的空间开销。与以往基于双线性映射累加器的方法相比,该方法大大减少了计算实际答案和证明的开销。交叉查询出现在关键字搜索、数据库查询和其他应用程序中。实际上,我们的方案可以有效地用于这样的场景。我们的结构的安全性是基于协同计算的Diffie-Hellman假设。
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