True randomness refers to data generated from unpredictable physical processes, such as atmospheric noise or radioactive decay, which cannot be reproduced or predicted. Unlike pseudorandom numbers generated by algorithms, true randomness lacks any discernible pattern or computational bias. It is essential for cryptographic security, where unpredictability is paramount for key generation and secure protocol operation. Obtaining high-quality true randomness is a critical requirement for robust security systems.
Context
In crypto news, true randomness is a recurring topic in discussions about blockchain security, particularly for proof-of-stake consensus and cryptographic primitives. The absence of genuine unpredictability can compromise the fairness of validator selection or the integrity of cryptographic keys. Decentralized oracle networks often provide sources of verifiable randomness to smart contracts, mitigating manipulation risks. Ensuring access to unassailable random data remains a significant technical challenge and an area of continuous research.
A novel Proof-of-Randomness protocol leverages true random number generators for a physically fair and energy-efficient blockchain consensus, defining a new class of randomized algorithms.
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