A ‘Random Number’ is a value that is unpredictable and lacks any discernible pattern. In cryptography and blockchain technology, the generation of high-quality random numbers is paramount for security functions such as key generation, nonces, and ensuring the fairness of probabilistic outcomes. Without reliable randomness, systems are susceptible to predictable attacks. The pursuit of true randomness is a continuous challenge in computational systems.
Context
The current discussion surrounding ‘Random Number’ generation in decentralized systems often focuses on the reliability and security of various methods, including hardware-based true random number generators (TRNGs) and deterministic pseudo-random number generators (PRNGs). Debates frequently address the susceptibility of PRNGs to manipulation and the challenges of achieving verifiably random outcomes in a decentralized environment. Future advancements are expected to concentrate on developing more robust and transparent methods for entropy sourcing and random number distribution.
QRiNG leverages quantum physics and blockchain consensus to generate provably true random numbers, fundamentally enhancing security and fairness in decentralized applications.
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