Privacy Features¶
Overview¶
Moby Market implements comprehensive privacy features to protect trader identities, transaction amounts, and trading patterns. The privacy system combines zero-knowledge proofs, confidential transfers, and mixing protocols to achieve institutional-grade financial privacy.
Zero-Knowledge Proof Integration¶
Supported ZK Protocols¶
The system supports multiple ZK proof systems optimized for different use cases:
pub enum ZKProtocol {
Groth16, // Fast verification, trusted setup
PLONK, // Universal setup, moderate size
STARKs, // No trusted setup, quantum resistant
Bulletproofs, // No trusted setup, range proofs
}
pub struct ZKProofSystem {
pub protocol: ZKProtocol,
pub circuit_registry: Vec<Circuit>,
pub verification_key_store: KeyStore,
pub proof_cache: ProofCache,
}
Core Proof Circuits¶
Transaction Privacy Circuit¶
// Private transaction circuit
pub struct PrivateTransactionCircuit {
// Public inputs
pub nullifier_hash: [u8; 32],
pub commitment_root: [u8; 32],
pub recipient_commitment: [u8; 32],
// Private witnesses
pub sender_private_key: [u8; 32],
pub amount: u64,
pub randomness: [u8; 32],
pub merkle_path: MerklePath,
}
impl Circuit<Fr> for PrivateTransactionCircuit {
fn synthesize<CS: ConstraintSystem<Fr>>(
self,
cs: &mut CS,
) -> Result<(), SynthesisError> {
// Prove:
// 1. Sender knows private key for input commitment
// 2. Input commitment exists in merkle tree
// 3. Nullifier is correctly computed
// 4. Output commitment is well-formed
// 5. Amount is in valid range
}
}
Range Proof Circuit¶
// Prove amount is within valid range without revealing exact value
pub struct RangeProofCircuit {
pub amount: u64, // Private witness
pub min_amount: u64, // Public input
pub max_amount: u64, // Public input
pub commitment: [u8; 32], // Public commitment to amount
pub blinding_factor: [u8; 32], // Private randomness
}
Compliance Circuit¶
// Prove compliance requirements without revealing identity
pub struct ComplianceCircuit {
pub user_credential: Credential, // Private witness
pub jurisdiction_proof: [u8; 32], // Private jurisdiction proof
pub accredited_investor_proof: [u8; 32], // Private status proof
pub compliance_hash: [u8; 32], // Public compliance commitment
}
Proof Generation and Verification¶
impl ZKProofSystem {
pub fn generate_proof<C: Circuit<Fr>>(
&self,
circuit: C,
proving_key: &ProvingKey,
) -> Result<Proof, ProofError> {
match self.protocol {
ZKProtocol::Groth16 => {
let rng = &mut thread_rng();
groth16::create_random_proof(circuit, proving_key, rng)
.map_err(ProofError::Groth16Error)
}
ZKProtocol::PLONK => {
plonk::prove(&circuit, proving_key)
.map_err(ProofError::PlonkError)
}
ZKProtocol::STARKs => {
starks::prove(&circuit)
.map_err(ProofError::StarksError)
}
ZKProtocol::Bulletproofs => {
bulletproofs::prove(&circuit)
.map_err(ProofError::BulletproofsError)
}
}
}
pub fn verify_proof(
&self,
proof: &Proof,
verification_key: &VerificationKey,
public_inputs: &[Fr],
) -> Result<bool, VerificationError> {
match self.protocol {
ZKProtocol::Groth16 => {
groth16::verify_proof(verification_key, proof, public_inputs)
}
// ... other protocols
}
}
}
Confidential Transfers¶
Amount Privacy¶
Hide transaction amounts using Pedersen commitments:
pub struct ConfidentialAmount {
pub commitment: [u8; 32], // Pedersen commitment to amount
pub encrypted_amount: Vec<u8>, // Encrypted for recipient
pub range_proof: Vec<u8>, // Proof amount is positive
}
impl ConfidentialAmount {
pub fn new(amount: u64, recipient_key: &PublicKey) -> Self {
let blinding_factor = generate_random_scalar();
// Create Pedersen commitment: C = aG + rH
let commitment = pedersen_commit(amount, &blinding_factor);
// Encrypt amount for recipient
let encrypted_amount = encrypt_for_key(
&amount.to_le_bytes(),
recipient_key
);
// Generate range proof
let range_proof = bulletproofs::prove_range(
amount,
&blinding_factor,
0,
u64::MAX
);
Self {
commitment: commitment.to_bytes(),
encrypted_amount,
range_proof,
}
}
pub fn verify(&self, min_amount: u64, max_amount: u64) -> bool {
bulletproofs::verify_range(
&self.commitment,
&self.range_proof,
min_amount,
max_amount
)
}
}
Asset Privacy¶
Obfuscate token types using asset commitments:
pub struct ConfidentialAsset {
pub asset_commitment: [u8; 32], // Commitment to asset type
pub encrypted_asset_id: Vec<u8>, // Encrypted asset identifier
pub asset_proof: Vec<u8>, // Proof of valid asset
}
impl ConfidentialAsset {
pub fn new(asset_id: Pubkey, recipient_key: &PublicKey) -> Self {
let asset_randomness = generate_random_scalar();
// Commit to asset type
let asset_commitment = pedersen_commit_asset(
&asset_id.to_bytes(),
&asset_randomness
);
// Encrypt asset ID
let encrypted_asset_id = encrypt_for_key(
&asset_id.to_bytes(),
recipient_key
);
// Generate proof that asset is in allowed set
let asset_proof = generate_asset_membership_proof(
&asset_id,
&asset_randomness
);
Self {
asset_commitment: asset_commitment.to_bytes(),
encrypted_asset_id,
asset_proof,
}
}
}
Stealth Addresses¶
Protect sender and receiver identities:
pub struct StealthAddress {
pub view_key: [u8; 32], // For detecting payments
pub spend_key: [u8; 32], // For spending funds
pub address_commitment: [u8; 32], // One-time address commitment
}
impl StealthAddress {
pub fn generate_payment_address(
recipient_view_key: &PublicKey,
recipient_spend_key: &PublicKey,
) -> (StealthAddress, EphemeralKey) {
let ephemeral_private = generate_random_scalar();
let ephemeral_public = ephemeral_private * GENERATOR;
// Derive shared secret
let shared_secret = ephemeral_private * recipient_view_key.point();
// Generate one-time keys
let one_time_spend = recipient_spend_key.point() +
hash_to_scalar(&shared_secret) * GENERATOR;
let one_time_view = recipient_view_key.point();
let stealth_address = StealthAddress {
view_key: one_time_view.to_bytes(),
spend_key: one_time_spend.to_bytes(),
address_commitment: hash(&one_time_spend.to_bytes()),
};
(stealth_address, EphemeralKey(ephemeral_public))
}
pub fn can_spend(&self, private_view_key: &[u8; 32]) -> bool {
// Check if this stealth address belongs to the user
let derived_view = derive_view_key(private_view_key);
derived_view == self.view_key
}
}
Privacy Pools¶
Pool Structure¶
pub struct PrivacyPool {
pub pool_id: Pubkey,
pub anonymity_set_size: u32, // Current number of participants
pub min_deposit: u64, // Minimum deposit amount
pub withdrawal_delay: i64, // Time delay for withdrawals
pub merkle_tree_root: [u8; 32], // Merkle tree of all deposits
pub nullifier_set: HashSet<[u8; 32]>, // Spent nullifiers
pub compliance_module: Option<ComplianceHook>,
pub pool_statistics: PoolStats,
}
pub struct PoolStats {
pub total_deposits: u64,
pub total_withdrawals: u64,
pub average_deposit_size: u64,
pub deposit_count: u32,
pub withdrawal_count: u32,
pub entropy_score: f64, // Measure of privacy quality
}
Deposit Process¶
impl PrivacyPool {
pub fn deposit(
&mut self,
amount: u64,
depositor: &Pubkey,
) -> Result<DepositReceipt, PoolError> {
// Validate minimum deposit
if amount < self.min_deposit {
return Err(PoolError::InsufficientAmount);
}
// Generate commitment
let randomness = generate_random_scalar();
let commitment = pedersen_commit(amount, &randomness);
// Add to merkle tree
let leaf_index = self.add_to_merkle_tree(&commitment);
// Create deposit receipt
let receipt = DepositReceipt {
commitment: commitment.to_bytes(),
randomness,
leaf_index,
deposit_time: get_current_timestamp(),
};
// Update pool statistics
self.update_deposit_stats(amount);
Ok(receipt)
}
pub fn withdraw(
&mut self,
proof: WithdrawalProof,
recipient: &Pubkey,
) -> Result<(), PoolError> {
// Verify withdrawal proof
if !self.verify_withdrawal_proof(&proof) {
return Err(PoolError::InvalidProof);
}
// Check nullifier hasn't been used
if self.nullifier_set.contains(&proof.nullifier) {
return Err(PoolError::DoubleSpend);
}
// Add nullifier to prevent double spending
self.nullifier_set.insert(proof.nullifier);
// Process withdrawal
self.transfer_funds(proof.amount, recipient)?;
self.update_withdrawal_stats(proof.amount);
Ok(())
}
}
Withdrawal Proof¶
pub struct WithdrawalProof {
pub nullifier: [u8; 32], // Prevents double spending
pub merkle_root: [u8; 32], // Root of deposit merkle tree
pub amount: u64, // Withdrawal amount
pub recipient: Pubkey, // Withdrawal recipient
pub zk_proof: Vec<u8>, // ZK proof of valid withdrawal
}
impl WithdrawalProof {
pub fn generate(
deposit_receipt: &DepositReceipt,
merkle_path: &MerklePath,
recipient: &Pubkey,
) -> Self {
// Generate nullifier
let nullifier = hash_to_nullifier(
&deposit_receipt.randomness,
deposit_receipt.leaf_index
);
// Create withdrawal circuit
let circuit = WithdrawalCircuit {
deposit_amount: deposit_receipt.amount,
randomness: deposit_receipt.randomness,
merkle_path: merkle_path.clone(),
nullifier,
recipient: *recipient,
};
// Generate ZK proof
let proving_key = load_withdrawal_proving_key();
let zk_proof = generate_proof(circuit, &proving_key)
.expect("Proof generation failed");
Self {
nullifier,
merkle_root: merkle_path.root,
amount: deposit_receipt.amount,
recipient: *recipient,
zk_proof: zk_proof.to_bytes(),
}
}
}
Transaction Mixing¶
Mix Network Architecture¶
pub struct MixNetwork {
pub mix_nodes: Vec<MixNode>,
pub routing_strategy: RoutingStrategy,
pub batch_size: u32,
pub mix_delay: i64,
}
pub struct MixNode {
pub node_id: Pubkey,
pub public_key: [u8; 32],
pub reputation_score: f64,
pub throughput_capacity: u32,
pub uptime_percentage: f64,
}
pub enum RoutingStrategy {
Onion, // Layer encryption like Tor
Cascade, // Sequential mix through all nodes
Pool, // Batch mixing with timing delays
Hybrid, // Combination of strategies
}
Transaction Mixing Process¶
impl MixNetwork {
pub fn submit_for_mixing(
&self,
transaction: PrivateTransaction,
mix_level: MixLevel,
) -> Result<MixTicket, MixError> {
let route = self.select_mix_route(mix_level);
let encrypted_layers = self.create_onion_layers(&transaction, &route);
let mix_ticket = MixTicket {
ticket_id: generate_unique_id(),
route_commitment: hash(&route),
estimated_completion: calculate_completion_time(&route),
privacy_score: calculate_privacy_score(mix_level, &route),
};
self.submit_to_first_mixer(encrypted_layers, &mix_ticket)?;
Ok(mix_ticket)
}
fn create_onion_layers(
&self,
transaction: &PrivateTransaction,
route: &[MixNode],
) -> Vec<EncryptedLayer> {
let mut encrypted_data = transaction.serialize();
// Encrypt in reverse order (innermost first)
route.iter().rev().map(|node| {
encrypted_data = encrypt_for_node(encrypted_data, &node.public_key);
EncryptedLayer {
node_id: node.node_id,
encrypted_data: encrypted_data.clone(),
timing_delay: calculate_delay(node),
}
}).collect()
}
}
Privacy Pool Mixing¶
pub struct PoolMixer {
pub pending_transactions: Vec<PendingMix>,
pub batch_threshold: u32,
pub mix_timeout: i64,
}
pub struct PendingMix {
pub transaction_hash: [u8; 32],
pub commitment: [u8; 32],
pub submission_time: i64,
pub mix_fee: u64,
}
impl PoolMixer {
pub fn add_to_mix_pool(&mut self, transaction: PrivateTransaction) {
let pending = PendingMix {
transaction_hash: hash(&transaction),
commitment: transaction.commitment,
submission_time: get_current_timestamp(),
mix_fee: calculate_mix_fee(&transaction),
};
self.pending_transactions.push(pending);
// Check if we can execute a mix batch
if self.should_execute_batch() {
self.execute_mix_batch();
}
}
fn execute_mix_batch(&mut self) {
let batch = self.select_mix_batch();
let shuffled_batch = self.shuffle_transactions(batch);
// Execute all transactions in random order
for transaction in shuffled_batch {
self.execute_mixed_transaction(transaction);
}
// Clear processed transactions
self.clear_processed_transactions();
}
}
Privacy Analytics¶
Privacy Scoring¶
pub struct PrivacyAnalyzer {
pub entropy_calculator: EntropyCalculator,
pub anonymity_assessor: AnonymityAssessor,
pub linkability_analyzer: LinkabilityAnalyzer,
}
impl PrivacyAnalyzer {
pub fn calculate_privacy_score(&self, transaction: &PrivateTransaction) -> PrivacyScore {
let entropy_score = self.entropy_calculator.calculate_entropy(transaction);
let anonymity_score = self.anonymity_assessor.assess_anonymity(transaction);
let linkability_score = self.linkability_analyzer.analyze_linkability(transaction);
PrivacyScore {
overall_score: self.combine_scores(entropy_score, anonymity_score, linkability_score),
entropy_level: entropy_score,
anonymity_set_size: anonymity_score.set_size,
linkability_risk: linkability_score.risk_level,
recommendations: self.generate_recommendations(entropy_score, anonymity_score, linkability_score),
}
}
}
pub struct PrivacyScore {
pub overall_score: f64, // 0.0 to 1.0
pub entropy_level: f64, // Information-theoretic entropy
pub anonymity_set_size: u32, // Size of anonymity set
pub linkability_risk: RiskLevel, // Risk of transaction linking
pub recommendations: Vec<PrivacyRecommendation>,
}
Compliance Integration¶
pub struct ComplianceModule {
pub jurisdiction_checker: JurisdictionChecker,
pub sanctions_screener: SanctionsScreener,
pub reporting_module: ReportingModule,
pub selective_disclosure: SelectiveDisclosure,
}
impl ComplianceModule {
pub fn verify_compliance(
&self,
transaction: &PrivateTransaction,
compliance_requirements: &ComplianceRequirements,
) -> ComplianceResult {
// Verify jurisdiction compliance without revealing location
let jurisdiction_proof = self.jurisdiction_checker
.verify_jurisdiction(&transaction.compliance_commitment)?;
// Screen against sanctions lists without revealing identity
let sanctions_proof = self.sanctions_screener
.verify_not_sanctioned(&transaction.identity_commitment)?;
// Generate compliance report if required
if compliance_requirements.reporting_required {
self.reporting_module.generate_privacy_preserving_report(transaction)?;
}
ComplianceResult {
compliant: true,
jurisdiction_verified: jurisdiction_proof.verified,
sanctions_cleared: sanctions_proof.cleared,
reporting_completed: compliance_requirements.reporting_required,
}
}
}
API Reference¶
Privacy Operations¶
interface PrivacyAPI {
// ZK Proof Operations
generateProof<T extends Circuit>(
circuit: T,
provingKey: ProvingKey
): Promise<Proof>;
verifyProof(
proof: Proof,
verificationKey: VerificationKey,
publicInputs: PublicInput[]
): Promise<boolean>;
// Confidential Transfers
createConfidentialTransfer(params: {
amount: bigint;
recipient: PublicKey;
asset: PublicKey;
}): Promise<ConfidentialTransaction>;
// Stealth Addresses
generateStealthAddress(
recipientViewKey: PublicKey,
recipientSpendKey: PublicKey
): Promise<{ address: StealthAddress; ephemeralKey: EphemeralKey }>;
// Privacy Pools
depositToPool(
poolId: PublicKey,
amount: bigint
): Promise<DepositReceipt>;
withdrawFromPool(
proof: WithdrawalProof
): Promise<TxSignature>;
// Mix Network
submitForMixing(
transaction: PrivateTransaction,
mixLevel: MixLevel
): Promise<MixTicket>;
// Privacy Analytics
analyzePrivacy(
transaction: PrivateTransaction
): Promise<PrivacyScore>;
}
Event Types¶
type PrivacyEvent =
| { type: 'ProofGenerated'; proofId: string; circuit: string }
| { type: 'ConfidentialTransfer'; commitment: string; nullifier: string }
| { type: 'PoolDeposit'; poolId: string; commitment: string }
| { type: 'PoolWithdrawal'; poolId: string; nullifier: string }
| { type: 'MixCompleted'; mixId: string; privacyScore: number }
| { type: 'ComplianceVerified'; transactionId: string; status: string };
Best Practices¶
For Maximum Privacy¶
- Use Privacy Pools: Always use privacy pools for large transactions
- Wait for Anonymity Set: Ensure sufficient anonymity set size before withdrawing
- Vary Timing: Don't follow predictable patterns for deposits/withdrawals
- Mix Regularly: Use transaction mixing even for smaller amounts
- Fresh Addresses: Generate new stealth addresses for each transaction
For Compliance¶
- Selective Disclosure: Only reveal necessary information for compliance
- Jurisdiction Proofs: Prove compliance without revealing location
- Audit Trails: Maintain privacy-preserving audit capabilities
- Regular Updates: Keep compliance modules updated with latest requirements
For Performance¶
- Proof Caching: Cache frequently used proofs and verification keys
- Batch Operations: Combine multiple privacy operations when possible
- Async Processing: Use background processing for proof generation
- Circuit Optimization: Use most efficient circuits for each use case
Security Considerations¶
- Key Management: Secure storage of private keys and randomness
- Trusted Setup: Verify integrity of any trusted setup ceremonies
- Circuit Audits: Ensure all circuits are properly audited
- Side Channel Protection: Guard against timing and other side channel attacks