Definition ∞ Sampling failure probability refers to the likelihood that a data availability sampling process will fail to detect a malicious or unavailable data segment within a decentralized network. This probability is a critical metric for assessing the security and reliability of data availability layers, particularly in scalable blockchain designs. A lower probability indicates a more robust and trustworthy system.
Context ∞ In the context of data availability sampling for rollups and other layer-2 solutions, minimizing sampling failure probability is a primary design goal. Current research explores cryptographic techniques and sampling strategies to reduce this probability to negligible levels, ensuring that data remains accessible and verifiable even with a small number of samples. This area is central to building secure and efficient scaling solutions.
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