Some remarks on the cross correlation analysis of pseudo random generators

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Abstract

Siegenthaler has shown how cross-correlation techniques can be applied to identify pseudo random generators consisting of linear feedback shift registers and a scrambling function [7]. These techniques may allow to attack one register in such a generator at a time. The original algorithm needs O(R2rN) operations to identify one register. (r denotes the length of the register examined, R the number of primitive polynomials of degree r. and N the minimal number of bits one has to observe). Employing Walsh-Hadamard transform this analysis can be done in O(R(r22+N)) operations [8]. We show that there exists a trade-off between the dimension of the Hadamard matrix and the number of bits required to compute the cross correlation coefficients. The complexity of this attack is O(R(r2r−σ+2σN)). The integer σ can be selected so that the cost of the attack is minimized. The MSR-generator will serve as an example to demonstrate our algorithm. Furthermore we examine the correlation immunity of the S-boxes used in the DES.

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APA

Mund, S., Gollmann, D., & Beth, T. (1988). Some remarks on the cross correlation analysis of pseudo random generators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 304 LNCS, pp. 25–35). Springer Verlag. https://doi.org/10.1007/3-540-39118-5_4

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