RNGbased
RNGbased describes methods and systems that use random number generation as a core component. In an RNGbased design, outcomes, decisions, or data transformations are influenced by values produced by an RNG, rather than being fully deterministic from input data alone. The term covers a spectrum from pure randomness to deterministic pseudorandom processes that are reproducible when seeded.
RNGs are typically categorized as true RNGs, which derive randomness from physical processes; pseudorandom number generators,
Applications include cryptographic key generation, nonces, and padding in security protocols; Monte Carlo simulations and stochastic
Quality assurance for RNGbased systems typically involves statistical tests to assess uniformity and independence, such as
Challenges include predictability in PRNGs, biases, performance bottlenecks, and difficulties in achieving true reproducibility across platforms.