基于放宽批量OPPRF的线性复杂度电路psi

Nishanth Chandran, Divya Gupta, Akash Shah
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引用次数: 28

摘要

在基于2方电路的私有集交集(circuit_psi)中,P0和P1分别持有集合S0和S1,并希望安全地计算集合S0∩S1上的函数f(例如,基数、相关属性和或阈值交集)。经过长时间的工作,Pinkas等人(PSTY, Eurocrypt 2019)展示了如何构建具有线性通信复杂性的具体有效的Circuit-PSI协议。然而,他们的协议需要超线性计算。在这项工作中,我们构建了具有线性计算和通信成本的具体有效的Circuit-PSI协议。此外,我们的协议比最先进的PSTY性能更高——我们的通信效率提高约2.3倍,速度提高2.8倍。我们通过一个新的原语获得了改进,该原语称为放松批无关可编程伪随机函数(RB-OPPRF),它可以被视为PSTY中使用的批处理opprf的严格泛化。这个原始人可能有独立的兴趣。
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Circuit-PSI With Linear Complexity via Relaxed Batch OPPRF
Abstract In 2-party Circuit-based Private Set Intersection (Circuit-PSI), P0 and P1 hold sets S0 and S1 respectively and wish to securely compute a function f over the set S0 ∩ S1 (e.g., cardinality, sum over associated attributes, or threshold intersection). Following a long line of work, Pinkas et al. (PSTY, Eurocrypt 2019) showed how to construct a concretely efficient Circuit-PSI protocol with linear communication complexity. However, their protocol requires super-linear computation. In this work, we construct concretely efficient Circuit-PSI protocols with linear computational and communication cost. Further, our protocols are more performant than the state-of-the-art, PSTY – we are ≈ 2.3× more communication efficient and are up to 2.8× faster. We obtain our improvements through a new primitive called Relaxed Batch Oblivious Programmable Pseudorandom Functions (RB-OPPRF) that can be seen as a strict generalization of Batch OPPRFs that were used in PSTY. This primitive could be of independent interest.
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