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  1. A Merkle tree is a data structure that is used in computer science applications.[1]
  2. The Merkle tree is useful because it allows users to verify a specific transaction without downloading the whole blockchain (over 130 gigabytes at the end of August 2017).[1]
  3. When the top hash is available, the hash tree can be received from any non-trusted source, like any peer in the p2p network.[2]
  4. If the hashed file is very big, such a hash tree or hash list becomes fairly big.[2]
  5. The Tiger tree hash is a widely used form of hash tree.[2]
  6. Merkle Tree is also known as Hash Tree.[3]
  7. The concept of Merkle Tree is named after Ralph Merkle, who patented the idea in 1979.[3]
  8. It contains the hash of the last block, a Nonce, and the Root Hash of all the transactions in the current block in a Merkle Tree.[3]
  9. The Merkle Tree maintains the integrity of the data.[3]
  10. Computer A sends a hash of the file to computer B. Computer B checks that hash against the root of the Merkle tree.[4]
  11. After that, you can obtain lower nodes of the Merkle tree from untrusted peers.[4]
  12. If they match the trusted source (meaning they fit into the same Merkle tree), they are accepted and the process continues.[4]
  13. A merkle tree is a structure that allows for efficient and secure verification of content in a large body of data.[5]
  14. Using a Merkle tree can significantly reduce the amount of data that a trusted authority has to maintain for verification purposes.[5]
  15. Now in the digital world also exists a tree, which goes by the name of Merkle Tree.[6]
  16. The term root node denotes the singular final node of a Merkle tree.[6]
  17. What purpose does a Merkle tree serve?[6]
  18. One of the significant applications is the generation of a block Merkle tree with the transactions of the block acting as the leaf nodes.[6]
  19. Hash tree used hashes instead of the full files, hence they are efficient.[7]
  20. The general form the hash tree which is used widely is the Tiger tree hash.[7]
  21. Hash tree allows direct as well as sequential access of the records.[7]
  22. Hash tree is generally known as Merkle tree after Ralph Merkle who patented it in 1979.[7]
  23. """ Builds the Merkle tree from a list of leaves.[8]
  24. Let's extend the code to return the audit trails as well for any data chunk (or leaf in the merkle tree).[8]
  25. We've come very far in understanding and implementing the merkle tree.[8]
  26. Many cryptocurrencies (including Bitcoin) store the transaction data in a merkle tree structure.[8]
  27. Bitcoin (BTC) and Ethereum (ETH) are the cryptocurrencies using the concept of the Merkle tree.[9]
  28. Other applications like BitTorrent and Git use the Merkle tree.[9]
  29. The name of Merkle tree is derived after a computer scientist named Ralph C. Merkle.[9]
  30. A Merkle tree produces a digital fingerprint of transactions of a block.[9]
  31. The example above is the most common and simple form of a Merkle tree known as a Binary Merkle Tree.[10]
  32. The transactions are included into blocks by miners and are hashed as part of a Merkle tree, leading to the Merkle root that is stored in the block header.[10]
  33. A Merkle tree is a data structure that is used for secure verification of data in a large content pool.[11]
  34. If you take a look at the Merkle tree as a whole, it is an upside-down tree.[11]
  35. In Ethereum, Merkle Patricia Tree is used which is a complex version of the Merkle tree.[11]
  36. idea, now called a Merkle Tree, fundamentally changed the world of cryptography, including the way encrypted computer protocols function.[12]
  37. The Merkle Tree has been around since 1979, when a man named Ralph Merkle was at Stanford University.[12]
  38. In very simple terms, a Merkle Tree is a way of structuring data that allows a large body of information to be verified for accuracy both extremely efficiently and quickly.[12]
  39. As we now know, the single code that a Merkle Tree produces is referred to as a Merkle Root.[12]
  40. Though he patented the Merkle tree in 1982, the patent on them has long expired.[13]
  41. By concatenating the two digests and taking their hash, the root of the hash tree commits to both digests.[13]
  42. We recompute the Merkle tree over the Linux distro on our side, and we find that our root doesn't match the one we were provided.[13]
  43. Here's the answer: we have to request the two hashes below the root in the canonical Merkle tree, and figure out which hash doesn't match up with our client-side tree.[13]
  44. The new Merkle tree hash is then signed to create a new signed tree head.[14]
  45. First, you need to verify that the old Merkle tree hash is a subset of the new Merkle tree hash.[14]
  46. Then you need to verify that the new Merkle tree hash is the concatenation of the old Merkle tree hash plus all the intermediate node hashes of the newly appended certificates.[14]
  47. You can use k and m to create the old Merkle tree hash, thereby verifying that the old tree exists and is unchanged.[14]
  48. One interesting types of tree and the subject of this article is called a Merkle tree.[15]
  49. A Merkle tree is a type of hash tree that was invented by cryptographer Ralph Merkle.[15]
  50. When constructing a Merkle tree, if we have an odd number of nodes at a particular level, we simply concatenate the last node with itself![15]
  51. The number of nodes in the tree gives us the shape of the Merkle tree, which will always be the same given the number of nodes.[15]
  52. An implementation of a Merkle Tree written in Go.[16]
  53. At its core, a Merkle Tree is a list of items representing the data that should be verified.[16]
  54. A Merkle tree is a tree in which leaves of the tree are hashed in couples.[17]
  55. Using a Merkle tree, it is efficient to verify if a specific data point is part of the full tree.[17]
  56. Since every transaction has an effect on the final hash value of the root of the Merkle tree, changing any transaction in the block will totally change the value of the Merkle tree’s root hash.[17]
  57. Therefore by only storing and validating the Root Hash of the Merkle tree, the full list of transactions can be validated.[17]
  58. Let’s break that down: The tree is a Merkle tree because it is a copy-on-write data structure which stores successive node hashes from leaf-to-root upon any changes to the tree.[18]
  59. This data can be presented in what is called a merkle or hash tree.[19]
  60. So, I suggest you store the data on disk in 4096-byte blocks, and do a Merkle tree over these blocks.[20]
  61. Treating the hash of each block as a leaf, we have a Merkle tree with 1.5 million leaves.[20]
  62. This requires you to read 4000 blocks from disk, update them, recompute their hashes, and update the Merkle tree.[20]
  63. Then, you'll need to update about 8000 nodes in the Merkle tree.[20]
  64. Then we can use a Merkle tree, which is a binary tree where each node is a hash over its child nodes.[21]
  65. Then we can build the Merkle tree, from the bottom up.[21]
  66. A Merkle Tree allows computers on a network to verify individual records without having to review and compare versions of the entire database.[22]
  67. When Satoshi created Bitcoin, using a Merkle tree for transaction verification was a no-brainer.[22]
  68. Now, it’s time to build our Merkle tree.[22]
  69. In many blockchains, including the aelf ecosystem, one piece of technology that is being incorporated into the network is the Merkle Tree.[23]
  70. The Merkle Tree is not some new amazing discovery, but it is a tested and true system which is used quite widely not just in blockchain, but any trust-less or peer-2-peer environment.[23]
  71. A Merkle Tree, in simple terms, takes lots of data, compresses it down into one simple string of characters which can prove the verity of the data held within, without revealing what that data is.[23]
  72. As seen in figure 1.1, we start with transactions which get hashed twice before they get included into the Merkle Tree.[23]
  73. So, what is a Merkle Tree, otherwise known as a Hash Tree?[24]
  74. : it’s a map, augmented with a Merkle Tree.[24]
  75. A Merkle tree is a binary tree structure, which just means that each thing that we store has a parent and up to two children.[25]
  76. Merkle tree (MT) implemented as a full binary tree allocated as a vec of statically sized hashes to give hashes more locality.[26]
  77. This post provides simple Python code snippets to introduce crypto hashing and Merkle tree hashing.[27]
  78. This diagram illustrates a fully balanced Merkle tree.[28]
  79. A Merkle tree is a structure of nodes labeled by hashes.[29]
  80. Pictured above is the simplest form of a Merkle tree, the binary Merkle tree.[29]
  81. A Merkle tree is built by hashing together two hashes, from left to right, repeating the process until a singular hash is created.[29]
  82. Calculate HRoot’ creating a Merkle tree with all the transactions within the block in natural order.[29]
  83. They form part of a Merkle tree.[30]

소스

  1. ↑ 1.0 1.1 Merkle Tree
  2. ↑ 2.0 2.1 2.2 Merkle tree
  3. ↑ 3.0 3.1 3.2 3.3 Blockchain Merkle Tree
  4. ↑ 4.0 4.1 4.2 Brilliant Math & Science Wiki
  5. ↑ 5.0 5.1 Merkle Trees
  6. ↑ 6.0 6.1 6.2 6.3 Everything You Need to Know About Merkle Trees
  7. ↑ 7.0 7.1 7.2 7.3 Hash Tree Questions and Answers
  8. ↑ 8.0 8.1 8.2 8.3 Merkle Trees: What They Are and the Problems They Solve
  9. ↑ 9.0 9.1 9.2 9.3 What Is Merkle Tree? Complete Guide For Beginners
  10. ↑ 10.0 10.1 What is a Merkle Tree? Beginner’s Guide to this Blockchain Component
  11. ↑ 11.0 11.1 11.2 A Guide To Merkle Trees
  12. ↑ 12.0 12.1 12.2 12.3 What is a Merkle Tree and How Does it Affect Blockchain Technology?
  13. ↑ 13.0 13.1 13.2 13.3 Merkle Trees
  14. ↑ 14.0 14.1 14.2 14.3 Certificate Transparency
  15. ↑ 15.0 15.1 15.2 15.3 Merkle Tree Construction and Proof-of-Inclusion
  16. ↑ 16.0 16.1 cbergoon/merkletree: A Merkle Tree implementation written in Go.
  17. ↑ 17.0 17.1 17.2 17.3 Merkle tree
  18. ↑ Global State — Sawtooth v1.1.5 documentation
  19. ↑ Calculating the Merkle Root for a block
  20. ↑ 20.0 20.1 20.2 20.3 Efficient Incremental Updates to Large Merkle Tree
  21. ↑ 21.0 21.1 Implementing a Merkle Tree in Go
  22. ↑ 22.0 22.1 22.2 Merkle Tree Hashing: How Blockchain Verification Works
  23. ↑ 23.0 23.1 23.2 23.3 Merkle Tree — What is it and why use it?
  24. ↑ 24.0 24.1 Introducing MerkleMap: improving Horde's performance
  25. ↑ Merkle tree-based logging
  26. ↑ merkletree
  27. ↑ Crypto Hashing and Merkle Tree
  28. ↑ merklelib
  29. ↑ 29.0 29.1 29.2 29.3 Data Validation — Symbol Documentation
  30. ↑ (PDF) Merkle Hash Grids Instead of Merkle Trees

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Spacy 패턴 목록

  • [{'LOWER': 'hash'}, {'LEMMA': 'tree'}]
  • [{'LOWER': 'merkle'}, {'LEMMA': 'tree'}]
  • [{'LOWER': 'tiger'}, {'LOWER': 'tree'}, {'LEMMA': 'hash'}]
  • [{'LOWER': 'tiger'}, {'OP': '*'}, {'LOWER': 'tree'}, {'LEMMA': 'hash'}]
  • [{'LOWER': 'hash'}, {'LEMMA': 'tree'}]
  • [{'LEMMA': 'TTH'}]
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