A Merkle tree is a data structure that uses cryptographic hashes to verify data integrity efficiently. It organizes data into a tree-like structure where each non-leaf node contains the hash of its child nodes, ultimately leading to a single Merkle root hash. This root hash provides a concise and tamper-proof summary of all underlying data. Merkle trees enable efficient verification of large datasets without requiring access to all individual data segments.
Context
Merkle trees are fundamental to the efficiency and security of blockchain protocols, frequently mentioned in technical crypto news regarding transaction verification or light client synchronization. Their use allows for compact proofs of transaction inclusion within a block, reducing bandwidth requirements. The integrity provided by Merkle trees is a key element supporting the verifiable nature of distributed ledgers.
A new Logarithmic-Depth Merkle-Trie Commitment scheme achieves constant-time verification, enabling light clients to securely validate state without storing it.
A novel heterogeneous Merkle tree structure significantly enhances blockchain transaction verification efficiency and security by optimizing data storage.
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