To simulate chance occurrences, a computer can’t literally toss a coin or roll a die. Instead, it relies on special numerical recipes for generating strings of shuffled digits that pass for random ...

Generating a string of random numbers is easy. The hard part is proving that they’re random. As Dilbert creator Scott Adams once pointed out, “that’s the problem with randomness: you can never be sure ...

Peter Bierhorst’s machine is no pinnacle of design. Nestled in the Rocky Mountains inside a facility for the National Institute of Standards and Technology, the photon-generating behemoth spans an ...

NIST (the National Institute of Standards and Technology, an agency of the U.S. Department of Commerce, has formally removed Dual_EC_DRBG from its draft guidance on random number generators. This is ...

Physicists have completed a study comparing the "randomness" in pi to that produced by random number generators. They have found that while sequences of digits from pi are indeed an acceptable ...

Following a public comment period and review, the National Institute of Standards and Technology (NIST) has removed a cryptographic algorithm from its draft guidance on random number generators.

Random numbers are useful beasts, in particular for cryptographers who use them to generate their codes. But how best to make random numbers at useful speeds? The question is intimately linked to the ...

A software routine that produces a random number. Used in applications such as computer games and cryptographic key generation, random numbers are easily created in a computer due to many random ...

In September 2013, whistleblower Edward Snowden revealed that American and British intelligence agencies had successfully cracked much of the online encryption internet users used to keep their ...