Further scramblings of Marsaglia's xorshift generators

Xorshift random number generators from primitive polynomials

A class of xorshift random number generators (RNGs) are introduced by Marsaglia. We have proposed an algorithm which constructs a full period xorshift RNG from a given primitive polynomial. It is shown there is a weakness present in those RNGs and is suggested its improvement. A separate algorithm is also proposed which returns a full period xorshift generator with desired number of xorshift op...

Note on Marsaglia’s Xorshift Random Number Generators

Marsaglia (2003) has described a class of“xorshift”random number generators (RNGs) with periods 2 − 1 for n = 32, 64, etc. We show that the sequences generated by these RNGs are identical to the sequences generated by certain linear feedback shift register (LFSR) generators using “exclusive or” (xor) operations on n-bit words, with a recurrence defined by a primitive polynomial of degree n.

Using Magma to find good xorshift random number generators

Some long-period random number generators using shifts and xors

Marsaglia recently introduced a class of “xorshift” random number generators (RNGs) with periods 2n − 1 for n = 32, 64, etc. Here Marsaglia’s xorshift generators are generalised to obtain fast and highquality RNGs with extremely long periods. Whereas RNGs based on primitive trinomials may be unsatisfactory, because a trinomial has very small weight, these new generators can be chosen so that th...

Suitability of chaotic iterations schemes using XORshift for security applications

The design and engineering of original cryptographic solutions is a major concern to provide secure information systems. In a previous study, we have described a generator based on chaotic iterations, which uses the well-known XORshift generator. By doing so, we have improved the statistical performances of XORshift and make it behave chaotically, as defined by Devaney. The speed and security o...