Random Number Generator
nouncandidate·updated May 9, 2026
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.
polysemousMWE
Classifications
Entity Type
Capability78%llm-generatedllm:claude-haiku-4-5
?unassignedlast reviewed —
Sensitivity
Restricted72%llm-generatedllm:claude-haiku-4-5
?unassignedlast reviewed —
Information Class
—65%llm-generatedllm:claude-haiku-4-5
?unassignedlast reviewed —
Variants
- acronym
- RNG
- plural
- Random Number Generators
- possessive
- Random Number Generator's
- pluralpossessive
- Random Number Generators'