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On Extracting Private Randomness over a Public Channel

机译:在公共频道中提取私人随机性

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摘要

We introduce strong blenders. A strong blender BLE(·, ·) uses weak sources X, Y to produce BLE(X, Y) that is statistically random even if one is given Y. Strong blenders generalize strong extractors and extractors from two weak random sources. We show that non-constructive strong blenders can extract all the randomness from X, as long as Y has logarithmic min-entropy. We also give explicit strong blenders which work provided the sum of the min-entropies of X and Y is at least their block length. Finally, we show that strong blenders have applications to cryptographic systems for parties that have independent weak sources of randomness. In particular, we extend the results of Mau-rer and Wolf and show that parties that are not able to sample even a single truly random bit can still perform privacy amplification over an adversarially controlled channel.
机译:我们介绍了强大的抱怨器。强烈的搅拌机BLE(·,·)使用弱来源x,y来产生统计上随机的BLE(x,y),即使给予Y.强烈的搅拌器概括了来自两个弱随机源的强大提取器和提取器。我们表明,只要y具有对数最小熵,我们就可以从x中提取所有随机性。我们还提供了明确的强烈融合,提供了X和Y的最小熵的总和至少是它们的块长度。最后,我们表明强大的搅拌机对具有独立弱道源的缔约方的加密系统具有应用程序。特别是,我们延长了MAU-RER和WOLF的结果,并表明,即使是单个真正随机位也无法采样的各方仍然可以在对接控制的信道上执行隐私放大。

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