A Merkle Tree is formed from the leaves first and then working through to finally find the Merkle Root, and each node that is not a leaf contains a hash of its two child node hashes.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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**Concept of a Merkle Tree**

A Merkle Tree is formed from the leaves first and then working through to finally find the Merkle Root, and each node that is not a leaf contains a hash of its two child node hashes.

- **True**
- **False**

This question checks the understanding of Merkle Trees used in computer science, particularly in blockchain and data verification processes. 

**Explanation:**

- **Merkle Trees** are data structures used for efficiently and securely verifying the contents of data. 
- **Leaves** represent the individual data blocks.
- **Merkle Root** is the top node, which provides a single hash that summarizes the entire tree.
- This structure is essential because it allows for efficient data verification, ensuring data integrity and prompt validation by comparing hash values from bottom to top.
Transcribed Image Text:**Concept of a Merkle Tree** A Merkle Tree is formed from the leaves first and then working through to finally find the Merkle Root, and each node that is not a leaf contains a hash of its two child node hashes. - **True** - **False** This question checks the understanding of Merkle Trees used in computer science, particularly in blockchain and data verification processes. **Explanation:** - **Merkle Trees** are data structures used for efficiently and securely verifying the contents of data. - **Leaves** represent the individual data blocks. - **Merkle Root** is the top node, which provides a single hash that summarizes the entire tree. - This structure is essential because it allows for efficient data verification, ensuring data integrity and prompt validation by comparing hash values from bottom to top.
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