An immuno-inspired algorithm is proposed to generate white noise sequences.

The algorithm is based on the optimization of a whiteness criterion.

A whiteness criterion is clearly stated and implemented.

The algorithm presents an automatic regulation of suppression threshold.

The results obtained are better than ones obtained with a pseudo-random generator.