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 ...

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of Standards and Technology, an agency of the U.S. Department of Commerce, has formally removed Dual_EC_DRBG from its draft guidance on random number generators.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

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 ...

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

Researchers propose a True Random Number Generation (TRNG) using dark pixel values of images received from the CMOS image sensor to provide unpredictability to the passwords. “Random Number Generators ...