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gomerkle

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An implementation of a Merkle Tree data structure in Golang using the SHA256 cryptographic hashing algorithm with builtin defense against second-preimage attacks.

A Merkle tree allows for efficient and secure verification of the contents of large data structures. This implementation provides APIs to perform the fundamental operations on Merkle trees such as providing a Merkle root, generating proofs and verifying them.

API

The MerkleTree operates on a Block which is just a byte slice and typically represents chunks of a larger data structure such as a file. It can be instantiated with a list of blocks and inserted after initialization. Note, that order of insertion is important and correlates to the Merkle root. If the supplied list of blocks is not a power of two, the last block is duplicated which results in a complete binary Merkle tree.

To initialize and insert chunks of raw data (blocks):

import (
  "github.com/alexanderbez/gomerkle"
)

blocks := []gomerkle.Block{
  gomerkle.Block("chunk1"),
  gomerkle.Block("chunk2"),
  gomerkle.Block("chunk3"),
  // ...
  gomerkle.Block("chunkn"),
}

mt := gomerkle.NewMerkleTree(blocks...)

Or create an empty Merkle tree and insert chunks:

mt := gomerkle.NewMerkleTree()

err := mt.Insert(gomerkle.Block("chunk1"))
if err != nil {
  // handle error...
}

Once all chunks have been inserted, a Merkle tree needs to 'finalized' to provide a Merkle root, proofs, and proof verification:

err := mt.Finalize()
if err != nil {
  // handle error...
}

To obtain the Merkle root:

root, err := mt.RootHash()
if err != nil {
  // handle error...
}

To generate a Merkle proof for a chunk of data (block):

proof, err := mt.Proof(gomerkle.Block("chunk1"))
if err != nil {
  // handle error...
}

To verify a generated Merkle proof:

err := mt.Verify(gomerkle.Block("chunk1"), proof)
if err != nil {
  // handle error...
}

Tests

$ go test -v ./...

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b feature/my-new-feature)
  3. Commit your changes (git commit -m 'Add some feature')
  4. Push to the branch (git push origin feature/my-new-feature)
  5. Create a new Pull Request

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A primitive implementation of a Merkle tree data structure in Golang.

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