True RNG

How do you know if something is really random? When testing Random Number Generators (RNGs) for randomness you quickly run into the “is that really random” dilemma. As pattern seeking creatures, we naturally look for patterns on an ongoing basis. Like many things, randomness varies. Most of the time, pseudo-random numbers generators (PRNGs) are basically […]

In many systems, “random” numbers are supplied by algorithms called pseudo-random number generators (PRNGs) or deterministic random bit generators (DRBGs). These algorithms generate long sequences of seemingly random bits that are based on a secret initial value called a seed, and other possible inputs [1]. This approach creates the illusion of unpredictability. In practice, however, […]

Most software and operating systems use random numbers for security processes. And because software is often built with cost and speed in mind, developers tend to use pseudo-random number generators (PRNGs) to create cryptographic keys and other system encryptions. PRNGs are algorithms that use mathematical formulas or precalculated tables to produce sequences of seemingly random […]

“Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin. For, as has been pointed out several times, there is no such thing as a random number — there are only methods to produce random numbers.” – John Von Neumann Random number generators (RNGs) are a crucial part of many […]

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