Term:Random Number Generator

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FIPS 140-2

Random Number Generator - Random Number Generators (RNGs) used for cryptographic applications typically produce a sequence of zero and one bits that may be combined into sub-sequences or blocks of random numbers. There are two basic classes: deterministic and nondeterministic. A deterministic RNG consists of an algorithm that produces a sequence of bits from an initial value called a seed. A nondeterministic RNG produces output that is dependent on some unpredictable physical source that is outside human control.

NIST IR 7298

Random Number Generator (RNG) - A process used to generate an unpredictable series of numbers. Each individual value is called random if each of the values in the total population of values has an equal probability of being selected. SOURCE: SP 800-57

NIST IR 7298

Random Number Generator (RNG) - Random Number Generators (RNGs) used for cryptographic applications typically produce a sequence of zero and one bits that may be combined into sub-sequences or blocks of random numbers. There are two basic classes: deterministic and nondeterministic. A deterministic RNG consists of an algorithm that produces a sequence of bits from an initial value called a seed. A nondeterministic RNG produces output that is dependent on some unpredictable physical source that is outside human control. SOURCE: FIPS 140-2

NIST SP 800-22r1

Random Number Generator (RNG) - A mechanism that purports to generate truly random data.

NIST SP 800-57P1

Random Number Generator (RNG) - A process used to generate an unpredictable series of numbers. Each individual value is called random if each of the values in the total population of values has an equal probability of being selected.

NIST SP 800-57P2

Random Number Generator (RNG) - Produces a sequence of zero and one bits that is random in the sense, that there is no way to describe its output that is more efficient than simply listing the entire string of output. There are two basic classes: deterministic and non-deterministic. A deterministic RNG (also known as a pseudorandom number generator) consists of an algorithm that produces a sequence of bits from an initial value called a seed. A non-deterministic RNG produces output that is dependent on some unpredictable physical source that is outside human control, such as thermal noise or radioactive decay.