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Predicting the number of different dimensional cubes: theoretically evaluate the secure bound of cryptographic primitives against the balance testers

机译:预测不同维度的多维数据集的数量:从理论上评估针对平衡测试人员的密码基元的安全范围

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摘要

The cube tester is a powerful tool to detect non-randomness of cryptographic primitives. The balance tester is a kind of powerful cube tester that has been applied to various cryptographic primitives. However, most existing results of the balance tester are acquired experimentally using small cubes of dimension no more than 50. To understand the mechanic of the balance tester, it is necessary to predict the number of higher-dimensional cubes. In this paper, we firstly draw links between the number of cubes and the resistance against the balance tester. Secondly, we theoretically prove that there are lower and upper bounds for the number of each dimensional cubes using a probabilistic model. Based on our analysis, we propose our main algorithms that can draw the lower and upper bounds for the number of different dimensional cubes utilising some easily acquired statistics. We apply our main algorithms to some famous stream ciphers namely Trivium, Grain-128, Grain-128a and Grain-v1. The results are in high accordance with our theories and expectations. Our work provides a better understanding of the balance tester. We expect that our main algorithms will equip the cryptologists with useful information when evaluating the secure margin of newly designed ciphers.
机译:多维数据集测试器是检测密码基元的非随机性的强大工具。余额测试器是一种功能强大的多维数据集测试器,已应用于各种密码原语。但是,大多数现有的平衡测试仪结果都是使用尺寸不超过50的小立方体通过实验获得的。要了解平衡测试仪的原理,必须预测更高尺寸的立方体的数量。在本文中,我们首先绘制了立方数与平衡测试仪的电阻之间的联系。其次,我们使用概率模型从理论上证明每个多维数据集的数量有上限和下限。根据我们的分析,我们提出了一些主要算法,这些算法可以利用一些易于获取的统计数据来绘制不同维数的多维数据集的上下限。我们将主要算法应用于一些著名的流密码,即Trivium,Grain-128,Grain-128a和Grain-v1。结果与我们的理论和期望高度吻合。我们的工作可以更好地了解天平测试仪。我们希望在评估新设计密码的安全裕度时,我们的主要算法将为密码学家提供有用的信息。

著录项

  • 来源
    《Information Security, IET》 |2016年第3期|142-151|共10页
  • 作者

    Y. Hao;

  • 作者单位

    Tsinghua University, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-17 13:06:11

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