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Time-Memory Trade-Offs: False Alarm Detection Using Checkpoints

机译:时间记忆的权衡:使用检查点的错误警报检测

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Since the original publication of Martin Hellman's cryptan-alytic time-memory trade-off, a few improvements on the method have been suggested. In all these variants, the cryptanalysis time decreases with the square of the available memory. However, a large amount of work is wasted during the cryptanalysis process due to so-called "false alarms". In this paper we present a method of detection of false alarms which significantly reduces the cryptanalysis time while using a minute amount of memory. Our method, based on "checkpoints", reduces the time by much more than the square of the additional memory used, e.g., an increase of 0.89% of memory yields a 10.99% increase in performance. Beyond this practical improvement, checkpoints constitute a novel approach which has not yet been exploited and may lead to other interesting results. In this paper, we also present theoretical analysis of time-memory trade-offs, and give a complete characterization of the variant based on rainbow tables.
机译:自从马丁·赫尔曼(Martin Hellman)的密码分析时间记忆权衡的最初发表以来,已经提出了对该方法的一些改进。在所有这些变体中,密码分析时间随可用内存的平方而减少。然而,由于所谓的“错误警报”,在密码分析过程中浪费了大量工作。在本文中,我们提出了一种错误警报检测方法,该方法可在使用少量内存的同时显着减少密码分析时间。我们基于“检查点”的方法所节省的时间比所使用的额外内存的平方减少了很多,例如,增加0.89%的内存可以使性能提高10.99%。除了这种实际的改进之外,检查点还构成了一种尚未被利用的新颖方法,并且可能导致其他有趣的结果。在本文中,我们还提出了时间记忆权衡的理论分析,并基于彩虹表给出了变体的完整表征。

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