Re: [sage-devel] [Crypto] S-box Linear Approximation Matrix scaling

I opened a ticket for this: #24819 -- You received this message because you are subscribed to the Google Groups "sage-devel" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-devel+unsubscr...@googlegroups.com

Re: [sage-devel] [Crypto] S-box Linear Approximation Matrix scaling

Ah, thats a very good idea! Then I would suggest to extend this scaled argument to the following: "bias" - return actual biases that is in [-0.5, 0.5] "correlation" - return correlations, so in [-1, 1] "absolute bias" - return biases*2^n (default) "fourier coefficient" - return fourier coefficient

Re: [sage-devel] [Crypto] S-box Linear Approximation Matrix scaling

How about adding an optional argument "scaled", defaulting to True: Then if S is an S-box, for instance sage: from sage.crypto.sbox import SBox sage: S = SBox(7,6,0,4,2,5,1,3) one could call sage: S.linear_approximation_matrix() or sage: S.linear_approximation_matrix(scaled=Tr

Re: [sage-devel] [Crypto] S-box Linear Approximation Matrix scaling

Hi Friedrich, The way it is defined in the code is consistent with the paper mentioned in the documentation (H. Heys paper on tutorial of differential and linear cryptanalysis) which, I believe, is used by many cryptanalysis researchers or students to learn differential and linear cryptanalysis fo

[sage-devel] [Crypto] S-box Linear Approximation Matrix scaling

I recently stumbled across the fact that the implementation of SBox().linear_approximation_matrix() returns *scaled* Fourier coefficients. While the documentation says exactly this, i.e., "[the matrix] encodes the bias[es]", my personal intuition is that this matrix should contain the actual Fou