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Merkle tree

In cryptography and computer science, a hash tree or Merkle tree is a tree in which every "leaf" node is labelled with the cryptographic hash of a data block, and every node that is not a leaf (called a branch, inner node, or inode) is labelled with the cryptographic hash of the labels of its child nodes. A hash tree allows efficient and secure…

Applications & Science

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Research this topic

Explore the main themes, entities and connections around Merkle tree. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Uses

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Merkle tree

Nodes59
Edges58
Triples21
Avg. degree1.97
Density0.033898
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Merkle tree

Top relations

related to External links · 6
Merkle tree → Gil SchmidtTiger Tree Hash, JavaRHash, JavaTiger Tree Hash, Merkle, SHA-256, TTH
related to Further reading · 4
Merkle tree → Hash EXchange, Merkle, THEX, Tiger
is a · 1
Merkle tree → tree in which every

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

tree hash data nodes leaf merkle hashes node blocks used list tiger trees file top block binary example cryptographic efficient

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Merkle treeis atree in which every0.90text
Apache Cassandrainstance ofa number of NoSQL systems0.80text
Riakinstance ofa number of NoSQL systems0.80text
and Dynamo.Suggestions have been made to use hash trees in trusted computing systemsinstance ofa number of NoSQL systems0.80text
SHA-2 is used for the hashinginstance ofa cryptographic hash function0.80text
CRCs can be used.In the top of a hash tree there is a top hashinstance ofnon-cryptographic checksums0.80text
Phexinstance ofand Direct Connect P2P file sharing protocols and in file sharing applications0.80text
BearShareinstance ofand Direct Connect P2P file sharing protocols and in file sharing applications0.80text
LimeWireinstance ofand Direct Connect P2P file sharing protocols and in file sharing applications0.80text
Shareazainstance ofand Direct Connect P2P file sharing protocols and in file sharing applications0.80text
DCinstance ofand Direct Connect P2P file sharing protocols and in file sharing applications0.80text
Merkle treerelated to External linksSHA-2560.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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