首页> 外文期刊>Electronic Colloquium on Computational Complexity >Input locality and hardness amplification
【24h】

Input locality and hardness amplification

机译:输入局部性和硬度放大

获取原文
           

摘要

We establish new hardness amplification results for one-way functions in which each input bit influences only a small number of output bits (a.k.a. input-local functions). Our transformations differ from previous ones in that they approximately preserve input locality and at the same time retain the input size of the original function. Let f:01n01m be a one-way function with input locality d, and suppose that f cannot be inverted in time exp(O(nd)) on an -fraction of inputs. Our main results can be summarized as follows: 1. If f is injective then it is equally hard to invert f on a (1?)-fraction of inputs. 2. If f is regular then there is a function g:01n01m+O(n) that~is d+O(log3n) input local and is equally hard to invert on a (1?)-fraction of inputs. A natural candidate for a function with small input locality and for which no sub-exponential time attacks are known is Goldreich's one-way function. To make our results applicable to this function, we prove that when its input locality is set to be d=O(logn) certain variants of the function are (almost) regular with high probability. In some cases, our techniques are applicable even when the input locality is not small. We demonstrate this by extending our first main result to one-way functions of the "parity with noise" type.
机译:我们为单向功能建立了新的硬度放大结果,其中每个输入位仅影响少量的输出位(又称输入局部功能)。我们的转换与以前的转换不同之处在于,它们大约保留了输入局部性,同时保留了原始函数的输入大小。令f:01n01m是输入局部性为d的单向函数,并假设f不能在输入分数的时间exp(O(nd))上反转。我们的主要结果可以总结如下:1.如果f是内射性的,则同样难以在输入的(1?)部分上反转f。 2.如果f是规则的,则存在一个函数g:01n01m + O(n),它是d + O(log3n)输入局部的,同样难以对输入的(1?)小数求逆。 Goldreich的单向函数是输入局部性小的函数的自然候选者,对于该函数,没有次指数时间攻击是已知的。为了使我们的结果适用于该函数,我们证明了当将其输入局部性设置为d = O(logn)时,该函数的某些变体(几乎)具有很高的规则性。在某些情况下,即使输入位置不小,我们的技术也适用。我们通过将我们的第一个主要结果扩展到“奇偶校验”类型的单向函数来证明这一点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号