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  2. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    Cipher algorithms and cryptographic hashes can be used as very high-quality pseudorandom number generators. However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers.

  3. ACORN (random number generator) - Wikipedia

    en.wikipedia.org/.../ACORN_(random_number_generator)

    In addition, recent research has shown that the ACORN generators pass all the tests in the TestU01 test suite, current version 1.2.3, with an appropriate choice of parameters and with a few very straightforward constraints on the choice of initialisation; it is worth noting, as pointed out by the authors of TestU01, that some widely-used pseudo ...

  4. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    When the maximum number of bits output from this PRNG is equal to the 2 blocksize, the resulting output delivers the mathematically expected security level that the key size would be expected to generate, but the output is shown to not be indistinguishable from a true random number generator. [24] When the maximum number of bits output from ...

  5. Fortuna (PRNG) - Wikipedia

    en.wikipedia.org/wiki/Fortuna_(PRNG)

    Fortuna is a cryptographically secure pseudorandom number generator (CS-PRNG) devised by Bruce Schneier and Niels Ferguson and published in 2003. It is named after Fortuna, the Roman goddess of chance. FreeBSD uses Fortuna for /dev/random and /dev/urandom is symbolically linked to it since FreeBSD 11. [1] Apple OSes have switched to Fortuna ...

  6. RDRAND - Wikipedia

    en.wikipedia.org/wiki/RdRand

    The random number generator is compliant with security and cryptographic standards such as NIST SP 800-90A, [6] FIPS 140-2, and ANSI X9.82. [1] Intel also requested Cryptography Research Inc. to review the random number generator in 2012, which resulted in the paper Analysis of Intel's Ivy Bridge Digital Random Number Generator .

  7. Applications of randomness - Wikipedia

    en.wikipedia.org/wiki/Applications_of_randomness

    Mathematically, there are distinctions between randomization, pseudorandomization, and quasirandomization, as well as between random number generators and pseudorandom number generators. For example, applications in cryptography usually have strict requirements, whereas other uses (such as generating a "quote of the day") can use a looser ...

  8. Hardware random number generator - Wikipedia

    en.wikipedia.org/wiki/Hardware_random_number...

    A USB-pluggable hardware true random number generator. In computing, a hardware random number generator (HRNG), true random number generator (TRNG), non-deterministic random bit generator (NRBG), [1] or physical random number generator [2] [3] is a device that generates random numbers from a physical process capable of producing entropy (in other words, the device always has access to a ...

  9. Category:Random number generation - Wikipedia

    en.wikipedia.org/wiki/Category:Random_number...

    Download as PDF; Printable version; In other projects Wikidata item; ... Non-physical true random number generator; Nothing-up-my-sleeve number; Q. QuintessenceLabs; R.

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