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Maliciously Secure Oblivious Linear Function Evaluation with Constant Overhead

机译:恶意安全地安全的线性函数评估,恒定的开销

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In this work we consider the problem of oblivious linear function evaluation (OLE). OLE is a special case of oblivious polynomial evaluation (OPE) and deals with the oblivious evaluation of a linear function f(x) = ax + b. This problem is non-trivial in the sense that the sender chooses a, b and the receiver x, but the receiver may only learn f(x). We present a highly efficient and UC-secure construction of OLE in the OT-hybrid model that requires only O(1) OTs per OLE. The construction is based on noisy encodings introduced by Naor and Pinkas (STOC'99) and used for passive secure OLEs by Ishai, Prabhakaran and Sahai (TCC'09). A result asymptotically similar to ours is known by applying the IPS compiler to the mentioned passive secure OLE protocol, but our protocol provides better constants and would be considerably simpler to implement. Concretely we use only 16 OTs to generate one active secure OLE, and our protocol achieves active security by adding fairly simple checks to the passive secure protocol. We therefore believe our protocol takes an important step towards basing practical active-secure arithmetic computations on OLEs. Our result requires novel techniques that might be of independent interest. As an application we present the currently most efficient OPE construction.
机译:在这项工作中,我们考虑了不知情的线性函数评估问题(OLE)。 OLE是一种特殊的案例,具有令人沮丧的多项式评估(OPE),并涉及线性函数f(x)= x + b的绝密评估。这个问题在发件人选择A,B和接收器X的意义上是非琐碎的,但接收器可以只学习f(x)。我们在OT-Hybrid模型中展示了OL的高效和UC安全结构,该模型仅需要每个OLE的O(1)。构造是基于由NAOR和平卡斯(STOC'99)介绍,并用于通过Ishai,普拉巴卡兰和萨海(TCC'09)被动安全OLES嘈杂编码。通过将IPS编译器应用于所提到的被动安全OLE协议,因此已知一种渐近类似的结果,但我们的协议提供更好的常数,并且可以很容易实现。具体地,我们仅使用16个OTS来生成一个活跃的安全OLE,我们的协议通过向被动安全协议添加相当简单的检查来实现活动安全性。因此,我们认为我们的协议对OLES基于实际的主动安全算术计算进行了重要一步。我们的结果需要可能具有独立利益的新技术。作为一个应用程序,我们介绍了目前最有效的OPE建设。

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