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New Imperfect Random Source with Applications to Coin-Flipping

机译:新的不完美随机源及其在硬币翻转中的应用

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We introduce a new imperfect random source that realistically generalizes the SV-source of Santha and Vazirani [SV86] and the bit-fixing source of Lichtenstein, Linial and Saks [LLS89]. Our source is expected to generate a known sequence of (possibly dependent) random variables (for example, a stream of unbiased random bits). However, the realizations/observations of these variables could be imperfect in the following two ways: (1) inevitably, each of the observations could be slightly biased (due to noise, small measurements errors, imperfections of the source, etc.), which is characterized by the "statistical noise" parameter δ∈[0, 1/2], and (2) few of the observations could be completely incorrect (due to very poor measurement, improper setup, unlikely but certain internal correlations, etc.), which is characterized by the "number of errors" parameter b ≥0. While the SV-source considered only scenario (1), and the bit-fixing source - only scenario (2), we believe that our combined source is more realistic in modeling the problem of extracting quasi-random bits from physical sources. Unfortunately, we show that dealing with the combination of scenarios (1) and (2) is dramatically more difficult (at least from the point of randomness extraction) than dealing with each scenario individually. For example, if bδ= ω(1), the adversary controlling our source can force the outcome of any bit extraction procedure to a constant with probability 1 - o(l), irrespective of the random variables, their correlation and the number of observations. We also apply our source to the question of producing n-player collective coin-flipping protocols secure against adaptive adversaries. While the optimal non-adaptive adversarial threshold for such protocols is known to be n/2 [BN00], the optimal adaptive threshold is conjectured by Ben-Or and Linial [BL90] to be only O(n~(1/2)). We give some evidence towards this conjecture by showing that there exists no black-box transformation from a non-adaptively secure coin-flipping protocol (with arbitrary conceivable parameters) resulting in an adaptively secure protocol tolerating ω(n~(1/2)) faulty players.
机译:我们引入了一个不完美的新随机源,该源实际地概括了Santha和Vazirani的SV源[SV86]以及Lichtenstein,Linial和Saks的位固定源[LLS89]。我们的消息源有望生成(可能是相关的)随机变量(例如,无偏随机比特流)的已知序列。但是,这些变量的实现/观察在以下两种方式上可能是不完善的:(1)不可避免地,每个观察值可能会略有偏差(由于噪声,较小的测量误差,源的不完美等),这其特征在于“统计噪声”参数δ∈[0,1/2],并且(2)很少有观测结果是完全不正确的(由于测量非常差,设置不正确,不太可能但某些内部相关性等)。 ,其特征在于“错误数量”参数b≥0。虽然SV源仅考虑方案(1),而位固定源仅考虑方案(2),但我们认为,在模拟从物理源中提取准随机位的问题时,我们的组合源更为现实。不幸的是,我们表明,处理场景(1)和(2)的组合比单独处理每个场景要困难得多(至少从随机性提取的角度来看)。例如,如果bδ=ω(1),则控制我们信息源的对手可以强制将任何位提取过程的结果强制为概率为1-o(l)的常数,而与随机变量,变量的相关性和观察次数无关。我们还将我们的资料应用于解决针对自适应对手的n玩家集体抛硬币协议的问题。虽然已知此类协议的最佳非自适应对抗阈值为n / 2 [BN00],但Ben-Or和Linial [BL90]推测最佳自适应阈值为O(n〜(1/2)) 。我们通过证明不存在非自适应安全硬币翻转协议(具有任意可能的参数)的黑盒变换来提供针对此推测的一些证据,从而导致可容忍ω(n〜(1/2))的自适应安全协议有缺陷的球员。

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