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The Piling-Up Lemma and Dependent Random Variables

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1746))

Abstract

In a linear cryptanalysis attack, several assumptions are made by the attacker. One of them is that the threefold sums used in the attack are independent. This allows one to apply then the Piling-up Lemma to them. According to this lemma, the imbalance of a sum modulo 2 of independent, binary-valued random variables is equal to the product of their imbalances. It is shown here that in some cases, both quantities can differ considerably for dependent random variables, but that they are almost equal for virtually all binary-valued random variables when the sample space on which these are defined is large enough.

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References

  1. Carlo Harpes, Cryptanalysis of Iterated Block Ciphers, Vol. 7 of ETH Series in Information Processing, Ed. J.L. Massey, Hartung-Gorre Verlag, Konstanz, 1996. ISBN 3-89649-079-6.

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© 1999 Springer-Verlag Berlin Heidelberg

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Kukorelly, Z. (1999). The Piling-Up Lemma and Dependent Random Variables. In: Walker, M. (eds) Cryptography and Coding. Cryptography and Coding 1999. Lecture Notes in Computer Science, vol 1746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46665-7_22

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  • DOI: https://doi.org/10.1007/3-540-46665-7_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66887-9

  • Online ISBN: 978-3-540-46665-9

  • eBook Packages: Springer Book Archive

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