What Is Merkle Tree & Merkle Root In Blockchain?

What Is Merkle Tree & Merkle Root In Blockchain?


We all know that people who are familiar with cryptography and cryptocurrency will have heard of Merkle trees before. Every non-leaf node in a Merkle tree, also known as a hash tree, has a label with the hash of the names of child nodes. In plain English, this means Merkle trees provide for efficient and secure verification of large amounts of data. It is a very intriguing piece of technology that will be beneficial to cryptocurrency in the long run as well.

In the realm of Blockchain technology, the Merkle Tree and Merkle Root play crucial roles, contributing to the security and efficiency of the entire system. Understanding these components is fundamental for anyone navigating the complex landscape of Blockchain. In this article, we will delve into the concepts of Merkle Trees and Merkle Roots, breaking down their significance and shedding light on how they underpin the integrity of Blockchain transactions.

What is the Merkle tree in Blockchain?

Merkle trees, or hash trees, are vital in cryptography and computer science, with Ralph Merkle patenting the concept in 1979. They play a key role in ensuring the integrity and security of data structures, finding applications in hash Blockchain technology and various cryptographic systems.

Structure and Functioning

  • Basic Structure: Each leaf node in a Merkle tree is assigned the cryptographic hash of a data block. The non-leaf nodes, positioned higher in the tree hashing structure, carry labels derived from the cryptographic hash of their respective child nodes’ labels. This hierarchical arrangement provides a secure way to represent and verify the contents of large datasets.
  • Efficiency in Verification: Merkle trees offer an efficient method for verifying whether a specific leaf node is part of a given hash tree. The verification process, known as a Merkle proof, requires computing a number of hashes proportional to the logarithm of the number of leaf nodes, maki