A section from the Encyclopedia of Database Systems states, “Merkle trees are data structures devised to authenticate, with a unique signature, a set of messages, by at the same time making an intended verifier able to verify authenticity of a single message without the disclosure of the other messages.”
It is designed to efficiently verify the consistency of data by organizing individual elements into a hierarchical structure. Its application is especially useful in blockchain technology, where large amounts of data have to be verified across decentralized networks.
Merkle trees are part of blockchain technology. The common applications range from longitudinal healthcare records to interoperability support in population initiatives for large health systems, with Merkle trees acting as privacy support for systems. Blockchains rely on decentralization so that data remains unchanged once recorded.
Merkle trees allow for the efficient verification that no unauthorized changes have occurred during transmission or storage. By using Merkle trees as part of a larger access control framework, organizations can implement fine-grained access controls over sensitive attributes.
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By providing a "Merkle proof" or "Merkle path." This path includes the necessary intermediate hash values to recompute the Merkle root from the transaction's hash, allowing verification against the known root.
SPV clients only download block headers, which include the Merkle root. They can then request Merkle proofs for specific transactions to verify their inclusion in a block without needing the full block data.