By Kakus - 26.02.2020
Merkle proof algorithm
Merkle proofs are established by hashing a hash's corresponding hash hashes are intended to be collision free and deterministic algorithms. No information is available for this page.
Uses[ edit ] Hash trees can be used to verify any kind of data stored, handled and transferred in and between computers. merkle proof algorithm
They can help ensure that data blocks received from other peers in a peer-to-peer network are received undamaged and unaltered, and even to check that the merkle proof algorithm peers do not lie and send fake blocks.
Merkle proof algorithm trees are used in hash-based cryptography. Nodes further up in the tree are the hashes of their respective children. For example, in the picture hash 0 is the result of hashing the concatenation of hash and hash Most hash tree implementations are binary two child nodes under each node but they can just as well merkle proof merkle proof algorithm many more child nodes under each node.
Usually, a cryptographic hash function such as SHA-2 is used for the hashing. If the hash tree only needs to protect against unintentional damage, unsecured checksums such as CRCs can be used. In the top of a hash tree there is a top hash or root merkle proof algorithm or master hash.
Before downloading a file on a p2p network, in most cases the top hash is acquired from a trusted source, for instance a friend or a web site that is known to have good recommendations of files to download.
When the top hash is available, the hash tree can be received from any non-trusted source, like any peer in the p2p network. Then, the received hash outlook merkle proof algorithm is checked against the trusted top hash, and if the hash tree is damaged or fake, merkle proof algorithm hash tree from another source will be tried until merkle proof algorithm program finds one that matches the top hash.
For example, in the picture, the integrity of data block L2 can be verified immediately if the tree already contains hash and hash 1 by hashing the data block and iteratively combining the result with hash and then hash 1 and finally merkle proof algorithm the result with the top hash.
Similarly, the integrity of data block L3 can be verified if the tree merkle proof algorithm has hash and hash 0.
Merkle proof algorithm can merkle proof algorithm an advantage since it is efficient to split files up in very small data blocks so that only small blocks have to be re-downloaded if they get damaged. If the hashed file is very big, such a hash tree or hash list becomes merkle proof algorithm big.
But if it is a tree, one small branch can be downloaded quickly, the integrity of the branch can be merkle proof algorithm, and then the downloading of merkle proof algorithm blocks can start. Some implementations limit the tree depth using hash tree depth prefixes before hashes, so any extracted hash chain is defined to be valid only if the prefix decreases at each step and is still positive when the leaf is reached.
Tiger merkle proof algorithm hash[ edit ] The Tiger tree hash is a widely used form of hash tree. It uses a binary hash tree two child nodes under each nodeusually has a data block size of bytes and uses the Tiger hash.
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