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* Generating primes which an enemy cannot guess requires a strong [[random number generator]]; any weakness in the generator reduces security.

*''[[stochastic process|Stochastic]]'' models use ''[[random number generator]]s'' to model chance or random events; they are also called [[Monte Carlo m

Hashes are also commonly used as a mixing operation in [[random number generator]]s.

...distribution|uniformly distributed]] on (0, 1], (e.g. the output from a [[random number generator]]), then a standard normally distributed random variable is ''c'' where:

...ng some otherwise quite good ones, have been broken because a poor quality random number generator was the weak link that gave a [[Cryptanalysis|cryptanalyst]] an opening.

...ock cipher can be used to build another cryptographic function such as a [[random number generator]], a [[stream cipher]], or a [[cryptographic hash]]. These are primarily a ...mponents such as [[cryptographic hash]]es and a cryptographically strong [[random number generator]] are required as well. Such a system can only be as strong as its weakest