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Merkle Mountain Range (MMR): the case of Herodotus - Chainsecurity
A Merkle Proof is a cryptographically authenticated data structure widely used to minimize on-chain data storage. For instance, a Merkle proof against a Merkle root can support airdrop claims from a smart contract. Similarly, a Merkle Patricia Trie proof can verify the existence of a key-value pair in Ethereum’s state Trie. In this blog, we’ll...
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Merkle Mountain Range (MMR): the case of Herodotus - Chainsecurity
A Merkle Proof is a cryptographically authenticated data structure widely used to minimize on-chain data storage. For instance, a Merkle proof against a Merkle root can support airdrop claims from a smart contract. Similarly, a Merkle Patricia Trie proof can verify the existence of a key-value pair in Ethereum’s state Trie. In this blog, we’ll...
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Merkle Mountain Range (MMR): the case of Herodotus - Chainsecurity
A Merkle Proof is a cryptographically authenticated data structure widely used to minimize on-chain data storage. For instance, a Merkle proof against a Merkle root can support airdrop claims from a smart contract. Similarly, a Merkle Patricia Trie proof can verify the existence of a key-value pair in Ethereum’s state Trie. In this blog, we’ll...
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- descriptionA Merkle Proof is a cryptographically authenticated data structure widely used to minimize on-chain data storage. For instance, a Merkle proof against a Merkle root can support airdrop claims from a smart contract. Similarly, a Merkle Patricia Trie proof can verify the existence of a key-value pair in Ethereum’s state Trie. In this blog, we’ll...
- twitter:titleMerkle Mountain Range (MMR): the case of Herodotus - Chainsecurity
- twitter:descriptionA Merkle Proof is a cryptographically authenticated data structure widely used to minimize on-chain data storage. For instance, a Merkle proof against a Merkle root can support airdrop claims from a smart contract. Similarly, a Merkle Patricia Trie proof can verify the existence of a key-value pair in Ethereum’s state Trie. In this blog, we’ll...
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