Non-Deterministic Random Number Generator
A non-deterministic random number generator (RNG) is a system that produces sequences of numbers that are statistically random and unpredictable, typically by relying on physical processes or external entropy sources. Unlike deterministic RNGs (pseudorandom number generators), they do not use algorithms with fixed seeds, making them suitable for applications requiring high security or true randomness. Common implementations include hardware RNGs that measure thermal noise, radioactive decay, or atmospheric noise.
Developers should use non-deterministic RNGs in scenarios where unpredictability is critical, such as cryptography (e.g., generating encryption keys, salts, or nonces), gambling applications, scientific simulations requiring true randomness, or security-sensitive systems like authentication tokens. They are essential when pseudorandomness could introduce vulnerabilities, as in cryptographic protocols where deterministic patterns might be exploited by attackers.