On the Resistance of Prime-variable Rotation Symmetric Boolean Functions against Fast Algebraic Attacks

Boolean functions used in stream ciphers should have many cryptographic properties in order to help resist different kinds of cryptanalytic attacks. The resistance of Boolean functions against fast algebraic attacks is an important cryptographic property. Deciding the resistance of an n-variable Boolean function against fast algebraic attacks needs to determine the rank of a square matrix over finite field GF(2). In this paper, for rotation symmetric Boolean functions in prime n variables, exploiting the properties of partitioned matrices and circulant matrices, we show that the rank of such a matrix can be obtained by determining the rank of a reduced square matrix with smaller size over GF(2), so that the computational complexity decreases by a factor of n to the power omega for large n, where omega is approximately equal to 2.38 and is known as the exponent of the problem of computing the rank of matrices