Pseudorandom number generators are deterministic algorithms that produce sequences of numbers that approximate the properties of true randomness. While not truly random, these generators are computationally efficient and are widely used in computing for simulations, games, and non-cryptographic applications. They start from a seed value and produce a sequence that appears random but is repeatable if the seed is known. Pseudorandom number generators are distinct from cryptographically secure random number generators.
Context
The appropriate use and security of pseudorandom number generators are critical considerations in digital systems, particularly when randomness is a component of non-security-critical functions. Debates sometimes arise regarding their suitability for certain applications where true randomness is preferable. Future research focuses on improving the statistical properties of pseudorandom number generators and ensuring their proper application to avoid predictable outcomes in systems where security depends on unpredictability.
Introducing BCPVRNG-SC, a dual-PRNG mechanism that embeds verifiable randomness into the ledger, structurally eliminating proposer bias and enhancing network fairness.
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