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Intmax
@intmax
Nethermind researcher discussed our whitepaper at #DefiSecuritySummit which covers how we’re building a scaling solution for #Ethereum which privately facilitates asset transfers. This creates a more efficient L2 #stateless infrastructure that is designed to support the global demand for privacy on #Ethereum. Tackling the Data Availability Problem One of the biggest challenges for blockchains and #rollups ensure data availability. For anyone hoping to verify the current state of a blockchain, the underlying transaction data must be accessible. In traditional Layer 1 blockchains, all transaction data is publicly available. Rollups, on the other hand, rely on the underlying blockchain’s data availability, verifying all transaction data on Layer 1 before generating a new block. But since this global data must be updated across numerous nodes, it significantly limits the number of transactions per second that the blockchain or rollup can handle.
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Intmax pfp
Intmax
@intmax
At INTMAX, we’ve taken a different approach. Instead of storing all transaction data on-chain, we provide a commitment to the set of transactions in a block (a Merkle tree root) and signatures from senders confirming they’ve received inclusion proofs. With this design, users can generate zero-knowledge proofs (ZK-proofs) of their balances by combining proofs of their sent transactions with proofs of the transactions they’ve received.Moreover, we use ‘Cyclic Recursive Zero-Knowledge Proofs’ to validate entire transaction chains efficiently. By proving only the most recent transaction, the system inherently validates the entire history, drastically reducing L2 costs while maintaining integrity. Users also receive asset proofs directly from block producers, eliminating the need for full database reconstruction, which is a major cost factor in traditional rollups. Our Three Block Types To handle deposits, transfers, and withdrawals efficiently, we use three specialized block types:
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