Audit Layer

Flex is a community-owned platform that rapidly boosts dApp user growth, ensuring the value generated directly benefits the Flex community.

The audit layer employs statistical methods to ensure the integrity of task validations.

Zero-knowledge proof validation:

For certain types of tasks, the Audit Layer implements zero-knowledge proofs to verify task completion without revealing sensitive information:

JavaScriptCopy codedef generate_zkp(task_result, private_data):
    # Implementation of zero-knowledge proof generation
    pass

def verify_zkp(task_result, proof):
    # Implementation of zero-knowledge proof verification
    pass

Byzantine fault tolerance (BFT):

The audit layer implements a BFT consensus algorithm to handle potentially malicious validators:

Consensus threshold:

$$[(2n+1)/3]+1$$

where: 𝑛 n is the total number of validators participating in the audit.

Quality assessment formula:

The quality score Q(t) for task t is now calculated using a weighted average of auditor reliability and task complexity:

$$Q(t)= ∑ v∈A t ​ ​ C(t) 1/2 ∑ v∈A t ​ ​ R(v)×C(t) 1/2 ​$$

where: 𝐴𝑡 is the set of auditors for task 𝑡, and 𝐶 (𝑡) is the task complexity.

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