On the lower block triangular nature of the incidence matrices to compute the algebraic immunity of Boolean functions

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Abstract

The incidence matrix between two sets of vectors in F2 has a great importance in different areas of mathematics and sciences. The rank of these matrices are very useful while computing the algebraic immunity(AI) of Boolean functions in cryptography literature [3,7]. With a proper ordering of monomial (exponent) vectors and support vectors, some interesting algebraic structures in the incidence matrices can be observed. We have exploited the lower-block triangular structure of these matrices to find their rank. This structure is used for faster computation of the AI and the low degree annihilators of an n-variable Boolean functions than the known algorithms. On the basis of experiments on at least 20 variable Boolean functions, we conjecture about the characterization of power functions of algebraic immunity 1, could verify the result on the AI of n-variable inverse S-box presented in [6](i.e., (Formula presented.)), and presented some results on the AI of some important power S-boxes.

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APA

Dalai, D. K. (2015). On the lower block triangular nature of the incidence matrices to compute the algebraic immunity of Boolean functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9270, pp. 79–89). Springer Verlag. https://doi.org/10.1007/978-3-319-23021-4_8

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