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keywords research, role in blockchain tech, and example.
Merkle tree is a data structure that uses cryptographic hashes to organize and verify data efficiently. In blockchain technology, a Merkle tree helps verify that transactions have not been changed and allows transactions to be checked without downloading all the data in a block. If a block contains four transactions (A, B, C, and D), their hashes are combined in pairs and hashed again until one final hash, called the Merkle root, is produced. If any transaction changes, the Merkle root changes too.
Immutability is the property of data that prevents it from being changed or deleted easily once it has been recorded. In blockchain technology, immutability helps maintain data integrity and trust because changing recorded information requires overcoming the network’s security mechanisms and consensus rules. Example Once a transaction is recorded on a blockchain, it cannot normally be altered without detection, helping prevent transaction records from being secretly modified.
Proof-of-Work (PoW) s a blockchain consensus mechanism in which miners solve computational puzzles to validate transactions and add new blocks to the blockchain. In blockchain technology, PoW helps secure the network, prevent fraud, and make it difficult for attackers to modify transaction records. Example In Bitcoin, miners use computing power to find a valid block hash. The successful miner can add the block to the blockchain and receive a reward.
Tamper Detection is the process of identifying unauthorized changes to data. In blockchain technology, tamper detection uses cryptographic hashes and links between blocks to reveal if recorded information has been modified. Example If someone changes a transaction in a blockchain, its hash changes, alerting the network that the data may have been tampered with.
51% attack occurs when an individual or group controls more than 50% of a blockchain network’s mining power in a Proof-of-Work system. In blockchain technology, this control may allow attackers to reorganize recent transactions, reverse their own payments, or prevent transactions from being confirmed. Example: An attacker controlling over 50% of Bitcoin’s mining power could attempt to reverse their own payment and spend the same coins again, known as a double-spending attack.
Double spending is an attack in which the same digital currency is spent more than once. In blockchain technology, consensus mechanisms and transaction verification help prevent the same cryptocurrency from being used in multiple transactions. Example: user A sends 1 Bitcoin to user B, then attempts to spend that same Bitcoin again with another transaction. The blockchain network must reject the conflicting transaction to prevent double spending.
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