Building a Storage Proof Powered Bridge
WIP!!!!
This tutorial provides an overview of using Storage Proofs to create a secure bridge between EVM-compatible blockchain networks. We'll cover the core concepts and provide code examples for building a bridge using Storage Proofs and the FactsRegistry.
Prerequisites
Understanding of smart contracts and blockchain concepts
Familiarity with Solidity and JavaScript/TypeScript
Access to the Storage Proof API
Step 1: Identify the Contract Storage Layout
First, determine the storage layout of the contract you want to prove. Let's say we're interested in a transfers mapping:
mapping(bytes32 => struct Transfer) public transfers;To obtain the storage layout:
Use a Solidity storage layout tool or plugin
Or use an online service like storage.herodotus.dev
Note the slot number for the transfers mapping from the output.
Step 2: Mapping Slot Index
For mappings, we need to calculate the exact storage slot for a specific key. Here's a generic JavaScript function to do this:
Usage example:
Step 3: Request a Storage Proof
With the correct storage slot, request a Storage Proof. Here's a generic example using fetch:
Step 4: Access Proven Slots
Once the Storage Proof is generated, access the proven data:
Step 5: Implement On-Chain Verification
To use the Storage Proof in your bridge contract, implement a verification function using the FactsRegistry. Here's a Solidity example:
This implementation uses the verifyStorage function from the FactsRegistry to verify the Storage Proof on-chain. The bridgeTransfer function takes the necessary parameters to verify the storage slot and execute the bridge logic.
Conclusion
By following these steps and using the FactsRegistry, you can create a bridge that uses Storage Proofs to securely transfer and verify data between EVM-compatible chains. This approach enhances security by cryptographically proving the state of one chain on another, reducing trust assumptions compared to traditional oracle-based bridges.
Remember to adapt these examples to your specific environment, contract structure, and chosen libraries. Always thoroughly test your implementation and consider potential edge cases specific to your use case.
Last updated