A Merkle tree (or hash tree) is a hierarchical data structure in cryptography and computer science used to verify large datasets quickly and securely. [1]
How It Works
- Leaf Nodes: The bottom layer of the tree contains data blocks (like individual transactions) that are run through a cryptographic hash function (like SHA-256) to produce unique text strings called hashes.
- Branch Nodes: Pairs of adjacent leaf hashes are combined, concatenated, and hashed again to create parent nodes.
- Merkle Root: This pairing and hashing process repeats upward until a single top hash remains, known as the Merkle root. [1, 2, 3, 4]
Why It Is Useful
- Data Integrity: If a single piece of underlying data changes, its specific hash changes, which alters every parent hash all the way up to change the final Merkle root.
- Efficiency: Systems can prove a specific transaction or piece of data belongs in the dataset using a tiny "Merkle proof" without downloading or processing the entire multi-gigabyte database.
- Common Uses: They power the structural integrity of popular decentralized technologies like Bitcoin and other blockchain networks, version control systems like Git, and peer-to-peer file sharing. [7, 8, 10]
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