Data Validation

The data ecosystem is designed to be permissionless, which means anyone can join the network as long as they run MIZU data node. To ensure the permissionless feature, we built the MIZU data network for the community validate data in a trustless manner.

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The Importance of Decentralization

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Ensuring Neutrality and Accessibility

We value the open and permissionless nature of the system, so we’d like to ensure that it remains neutral, resistant to censorship, and cannot be shut down. The data should be shared across the world without barriers. This can only happen if the validation and contribution are done in a fully decentralized manner.

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Incentivizing Quality Contributions

In the future, we may airdrop tokens to high-quality dataset maintainers and reputable contributors. In this case, we will need strong consensus among the community that the data hosted truly satisfies the rules, which can only be provided by a decentralized network.

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Random Access Verification Protocol

The MIZU network operates on a trust-but-verify principle for its data hosting nodes. While the network assumes the honesty of these nodes, it implements robust security measures to ensure data integrity and availability. Data hosting nodes are required to generate cryptographic proofs, such as Merkle proofs or zero-knowledge proofs, for the data they host. These proofs are then stored on-chain, creating an immutable record of the data’s state.

To maintain the network’s integrity, validator nodes perform random queries based on these proofs, requiring data hosting nodes to return the requested data promptly and accurately. This mechanism serves as a continuous audit of the network’s reliability. If a data hosting node fails to respond within the specified time frame (compromising data availability) or provides incorrect data (violating data integrity), the network’s validators take swift action. Penalties for non-compliance include slashing the node’s staked tokens or, in severe cases, expulsion from the network.

This sophisticated system of checks and balances ensures the MIZU network remains resilient, trustworthy, and efficient, providing a secure foundation for large-scale AI data management.