Heterogeneous Rainbow Table Widths Provide Faster Cryptanalyses

Gildas Avoine, Xavier Carpent
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引用次数: 4

Abstract

Cryptanalytic time-memory trade-offs are techniques introduced by Hellman in 1980 to speed up exhaustive searches. Oechslin improved the original version with the introduction of rainbow tables in 2003. It is worth noting that this variant is nowadays used world-wide by security experts, notably to break passwords, and a key assumption is that rainbow tables are of equal width. We demonstrate in this paper that rainbow tables are underexploited due to this assumption never being challenged. We stress that the optimal width of each rainbow table should be individually -- although not independently -- calculated. So it goes for the memory allocated to each table. We also stress that visiting sequentially the rainbow tables is no longer optimal when considering tables with heterogeneous widths. We provide an algorithm to calculate the optimal configuration and a decision function to visit the tables. Our technique performs very well: it makes any TMTO based on rainbow tables 40% faster than its classical version.
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异构彩虹表宽度提供更快的密码分析
密码分析的时间-记忆权衡是赫尔曼在1980年提出的加速穷举搜索的技术。Oechslin在2003年改进了最初的版本,引入了彩虹表。值得注意的是,这种变体如今被安全专家在全球范围内使用,尤其是用于破解密码,一个关键的假设是彩虹表的宽度是相等的。我们在本文中证明,由于这个假设从未受到挑战,彩虹表未被充分利用。我们强调,每个彩虹表的最佳宽度应该单独计算,尽管不是独立计算。所以它会占用分配给每个表的内存。我们还强调,当考虑具有异构宽度的表时,顺序访问彩虹表不再是最佳的。我们提供了计算最优配置的算法和访问表的决策函数。我们的技术性能非常好:它使任何基于彩虹表的TMTO比其经典版本快40%。
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