Automatic verification of decentrailized protocols

A system uses a specialized smart contract, deployed by one party, to automatically check another party's smart contract on a blockchain. This special contract assesses the target contract's functions, finds weaknesses based on predefined rules, and calculates a risk score. If the risk is too high, users from the first party are blocked from using the target contract, specifically using machine learning to generate recommendations and update its rules.

Why it matters: Filed when ML for smart contract analysis was less mature. Advances in AI, particularly in code analysis and vulnerability detection, could now make the machine learning components of this system more robust and effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, smart contract development, blockchain integration.

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