Entropy dilution refers to a reduction in the unpredictability or randomness of a cryptographic source or process. This situation arises when the quality of random data decreases, making it more susceptible to prediction or attack. In blockchain systems, maintaining high entropy is essential for the security of private keys, transaction signing, and consensus mechanisms. It represents a weakening of the underlying random properties.
Context
Entropy dilution is a security concern in cryptographic systems, including those powering digital assets, where compromised randomness can lead to severe vulnerabilities. Developers continuously work to ensure that random number generators used in blockchain protocols maintain maximal unpredictability. Reports on security audits or exploits sometimes highlight instances where insufficient entropy played a role in system compromise.
The Verifiable Entropy Function, a new primitive, guarantees maximal unbiased randomness from distributed inputs, fundamentally securing Proof-of-Stake consensus.
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