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A hash tree (or Merkle tree) is a method of hierarchically hashing data. They allow efficient parallel hashing and updates and the possibility of verifying partial data.
2
votes
Is it possible to build short proofs of arbitrary computations over a big list?
Merkle aggregation can help you compute aggregation functions over the leaf data in a Merkle tree.
The technique is described in detail in Crosby & Wallach's paper on history trees [1], an append-onl …
7
votes
Proving set membership in less than $\log{N}$ bandwidth
Depending on your trust assumptions about this server, you might be able to use cryptographic accumulators which provide constant-sized (non)membership proofs.
However, as far as I know, no efficien …
2
votes
Dynamically building a Merkle tree for unkown size
This is very simple to achieve. I'll just show you what you have to compute as each chunk $c_1, c_2, c_3, \ldots$ comes in.
You start empty.
You get $c_1$, hash it as $h_1$, and obtain your Merkle roo …
1
vote
What is the canonical way of creating Merkle tree branches?
Not sure about a canonical way, but a simple way of doing this is to use an extra byte to encode a "left" or a "right" next to the each node's hash in the proof.
So rather than:
Leaf: 12c5
Nodes: [ …
6
votes
Proof of non-membership on a Merkle tree?
If your data is a set $S$ of key-value pairs, such that $S = \{(k,v) \mathrel\vert k \in K, v \in V\}$, you can have non-membership proofs for your data by using a sorted Merkle tree (sorted by the ke …
2
votes
Proof of membership on a merkle tree
Unfortunately, an in depth answer for me would be too long and is actually the scope of the Zerocash paper itself, which I recommend you re-read thoroughly.
A high-level answer: Instead of providing t …
2
votes
How to prove that a line belongs to a final hash without knowing/re-hashing all other lines?
Short answer: (1) Build a Merkle tree over your database and (2) give a Merkle path to the entry you want to prove is in the database.
SNARKs are great, but are a big hammer that's completely unnecess …