Weak white noise ($\mathrm{Cov}(W_s,W_t)={\sigma }^2{1}_{s=t}$)

A white noise sequence has zero mean, a common finite variance and zero autocovariance at every nonzero lag. This requires uncorrelated random variables, rather than independent random variables.