Zero-Knowledge Proofs
Implementing zero-knowledge proof systems — from zkSNARKs and zkSTARKs through circuit design (Circom), proof generation/verification, and practical applications.
When to Use
- Privacy-preserving transactions on blockchain
- Verifiable computation (prove computation is correct)
- Identity and credential verification without revealing data
- Scalability (zk-rollups for Ethereum)
- Confidential smart contracts
ZKP Fundamentals
ZKP_TYPES = {
'snark': 'Succinct Non-interactive Argument of Knowledge — small proofs, trusted setup (Groth16, PLONK)',
'stark': 'Scalable Transparent ARgument of Knowledge — no trusted setup, larger proofs, quantum-resistant',
'bulletproofs': 'No trusted setup, short proofs, used in Monero',
}
"""
// Circom circuit: prove knowledge of hash preimage without revealing it
pragma circom 2.0.0;
template HashPreimage() {
signal input preimage;
signal output hash;
component hasher = MiMC7(10);
hasher.x_in <== preimage;
hash <== hasher.out;
}
component main { public [hash] } = HashPreimage();
"""
Verification Checklist
- ZKP system chosen (SNARK, STARK, Bulletproofs)
- Circuit defined in Circom or similar DSL
- Trusted setup ceremony completed (if SNARK)
- Proving key and verification key generated
- Proof generation time acceptable for use case
- Verification gas cost (if on-chain) measured
- Security: circuit soundness, no under-constrained signals
- Integration tested (prover in app, verifier in contract)