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Dissection-BKW

机译:解剖-BKW

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摘要

The slightly subexponential algorithm of Blum, Kalai and Wasserman (BKW) provides a basis for assessing LPN/LWE security. However, its huge memory consumption strongly limits its practical applicability, thereby preventing precise security estimates for cryptographic LPN/LWE instantiations. We provide the first time-memory trade-offs for the BKW algorithm. For instance, we show how to solve LPN in dimension k in time 2~(4/3(k/(log k))) and memory 2~(2/3(k/(log k))). Using the Dissection technique due to Dinur et al. (Crypto '12) and a novel, slight generalization thereof, we obtain finegrained trade-offs for any available (subexponential) memory while the running time remains subexponential. Reducing the memory consumption of BKW below its running time also allows us to propose a first quantum version QBKW for the BKW algorithm.
机译:Blum,Kalai和Wasserman(BKW)的略次指数算法为评估LPN / LWE安全性提供了基础。但是,其巨大的内存消耗极大地限制了其实际适用性,从而妨碍了对加密LPN / LWE实例的精确安全估计。我们为BKW算法提供了第一个时间记忆权衡。例如,我们展示了如何在时间2〜(4/3(k /(log k)))和内存2〜(2/3(k /(log k)))中解决维数为k的LPN。由于Dinur等人使用了解剖技术。 (Crypto '12)及其新颖的略微概括,我们获得了任何可用(次指数)内存的细微折衷,而运行时间仍保持次指数。将BKW的内存消耗降低到其运行时间以下,还使我们能够为BKW算法提出第一个量子版本QBKW。

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