真正的随机数生成:一个例子

D. Frauchiger, R. Renner
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引用次数: 1

摘要

从赌博到计算机模拟,从密码学到统计学,随机性对各种应用都至关重要。然而,目前使用的许多生成随机性的方法不符合这些应用程序正常和安全地工作所必需的标准。一个常见的问题是,一个数字序列可能看起来是随机的,但实际上并不是随机的。事实上,这个序列可以通过所有标准的统计测试,但仍然是完全可预测的。这使得它对许多应用程序毫无用处。例如,在密码学中,随机选择的密码的可预测性显然是不可取的。在这里,我们回顾了最近开发的一种方法来生成真正的、因此不可预测的随机性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Truly random number generation: an example
Randomness is crucial for a variety of applications, ranging from gambling to computer simulations, and from cryptography to statistics. However, many of the currently used methods for generating randomness do not meet the criteria that are necessary for these applications to work properly and safely. A common problem is that a sequence of numbers may look random but nevertheless not be truly random. In fact, the sequence may pass all standard statistical tests and yet be perfectly predictable. This renders it useless for many applications. For example, in cryptography, the predictability of a randomly" chosen password is obviously undesirable. Here, we review a recently developed approach to generating true | and hence unpredictable | randomness.
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