Distributed Random Number Generation Fair and Reliable for Blockchain Applications
Abstract
Random number generators, or RNGs, are essential in a variety of domains, such as blockchain applications, information technology, and computer security. Pseudorandom numbers, their classification, experimental analysis, and the search for cryptographically secure pseudo-random number generators (CSPRNGs) are the main topics of this paper's investigation into cryptographic random number generators. The paper highlights the technical difficulty of producing tamper-proof, unexpected, and verifiable random numbers in distributed systems like blockchains, drawing on findings from a Chainalysis study.
Applications of blockchain emphasize the need for safe random numbers, especially in the gaming and token (NFT) industries, which are valued at over $44 million. Platforms such as the blockchain lottery Pooltogether, which has received over $10 million from players and pays out over $8,000 in weekly prizes at random, show the lottery's worldwide appeal. The Proof-of-Stake (POS) consensus method used by Ethereum, which makes use of decentralized RNGs, demonstrates how safe.
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