Distributed Entropy Generation

Definition ∞ Distributed entropy generation is the process of creating unpredictable random numbers through a decentralized network of participants. This method aims to produce high-quality, verifiable randomness that is resistant to manipulation by any single entity. It is crucial for applications requiring unbiased outcomes, such as leader election in blockchain protocols. This ensures impartiality.
Context ∞ Distributed entropy generation is a technical concept often discussed in news regarding advanced blockchain security and fairness mechanisms. Reports on new consensus algorithms or decentralized random number generators highlight its importance for preventing various attacks. Ensuring fair and unpredictable outcomes is a key challenge addressed by this cryptographic technique in decentralized systems.