pseudorandom number generator

An RBG that includes a DRBG mechanism and (at least initially) has access to a randomness source. The DRBG produces a sequence of bits from a secret initial value called a seed, along with other possible inputs. A DRBG is often called a Pseudorandom Number (or Bit) Generator. Contrast with NRBG.

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NIST SP 800-90A Rev. 1

An RBG that includes a DRBG mechanism and (at least initially) has access to a source of entropy input. The DRBG produces a sequence of bits from a secret initial value called a seed, along with other possible inputs. A DRBG is often called a Pseudorandom Number (or Bit) Generator.

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NIST SP 800-90B

A deterministic computational process that has one or more inputs called "seeds", and it outputs a sequence of values that appears to be random according to specified statistical tests. A cryptographic PRNG has the additional property that the output is unpredictable, given that the seed is not known.

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CNSSI 4009-2015

A deterministic algorithm which, given a truly random binary sequence of length k, outputs a binary sequence of length l >> k which appears to be random. The input to the generator is called the seed, while the output is called a pseudorandom bit sequence.

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NIST SP 800-22 Rev. 1a

See Deterministic random bit generator (DRBG).

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NIST SP 800-57 Part 1 Rev. 4

See Deterministic random bit generator (DRBG).

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NIST SP 800-57 Part 1 Rev. 5

See Deterministic random bit generator (DRBG).

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NIST SP 800-57 Part 1 Rev. 3

See Deterministic Random Bit Generator.

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NIST SP 800-90A Rev. 1

A random bit generator that includes a DRBG algorithm and (at least initially) has access to a source of randomness. The DRBG produces a sequence of bits from a secret initial value called a seed, along with other possible inputs. A cryptographic DRBG has the additional property that the output is unpredictable, given that the seed is not known. A DRBG is sometimes also called a Pseudo-random Number Generator (PRNG) or a deterministic random number generator.

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NIST SP 800-57 Part 1 Rev. 4

A random bit generator that includes a DRBG algorithm and (at least initially) has access to a source of randomness. The DRBG produces a sequence of bits from a secret initial value called a seed. A cryptographic DRBG has the additional property that the output is unpredictable given that the seed is not known. A DRBG is sometimes also called a pseudo-random number generator (PRNG) or a deterministic random number generator.

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NIST SP 800-57 Part 1 Rev. 5

An algorithm that produces a sequence of bits that are uniquely determined from an initial value called a seed. The output of the DRBG “appears” to be random, i.e., the output is statistically indistinguishable from random values. A cryptographic DRBG has the additional property that the output is unpredictable, given that the seed is not known. A DRBG is sometimes also called a Pseudo Random Number Generator (PRNG) or a deterministic random number generator.

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NIST SP 800-57 Part 1 Rev. 3

A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value, called the PRNG's seed (which may include truly random values). Although sequences that are closer to truly random can be generated using hardware random number generators, pseudorandom number generators are important in practice for their speed in number generation and their reproducibility.

Генератор псевдовипадкових чисел (PRNG), також відомий як детермінований генератор випадкових бітів (DRBG), — алгоритм генерування послідовності чисел, властивості якої наближені до властивостей послідовностей випадкових чисел. Послідовність, згенерована PRNG, не є істинно випадковою, оскільки повністю визначається початковим значенням, яке називають зерном PRNG (воно може включати істинно випадкові значення). Хоча апаратні генератори випадкових чисел дозволяють отримувати послідовності, ближчі до істинно випадкових, генератори псевдовипадкових чисел важливі на практиці завдяки швидкості генерування чисел і відтворюваності.

CISA NICCS Glossary