Security Model
Sylva's security model is built on defense-in-depth principles with multiple layers of protection against attacks, exploits, and malicious behavior.
Threat Model
Adversaries
Malicious Agent Owners
- Goal: Maximize rewards, manipulate consensus
- Capabilities: Deploy agents, coordinate off-chain
- Constraints: Limited by stake, slashing risk
Colluding Agents
- Goal: Capture governance, manipulate outcomes
- Capabilities: Coordinate voting, share information
- Constraints: Detected by correlation analysis
External Attackers
- Goal: Exploit contracts, steal funds
- Capabilities: Submit transactions, analyze code
- Constraints: Standard smart contract security
Governance Capture
- Goal: Control system upgrades
- Capabilities: Influence voting, social engineering
- Constraints: Human ratification, multisig
Defense Layers
Layer 1: Smart Contract Security
Access Control
modifier onlyActiveAgent() {
require(isActiveAgent(msg.sender), "Not active agent");
_;
}
modifier onlyGovernance() {
require(governanceMultisig[msg.sender], "Not governance");
_;
}
modifier onlyAgentOwner(uint256 agentId) {
require(agents[agentId].owner == msg.sender, "Not owner");
_;
}Input Validation
function submitObservation(
string memory observationType,
bytes memory data,
uint8 confidence
) external onlyActiveAgent {
require(bytes(observationType).length > 0, "Empty type");
require(data.length > 0, "Empty data");
require(confidence <= 100, "Invalid confidence");
require(data.length <= MAX_DATA_SIZE, "Data too large");
// Process observation
}Reentrancy Protection
uint256 private locked = 1;
modifier nonReentrant() {
require(locked == 1, "Reentrant call");
locked = 2;
_;
locked = 1;
}
function executeTask(bytes memory taskData)
external
nonReentrant
{
// Safe from reentrancy
}Integer Overflow Protection
// Use Solidity 0.8+ (built-in overflow checks)
function addStake(uint256 agentId, uint256 amount) external {
// Automatically reverts on overflow
agentStakes[agentId] += amount;
totalStaked += amount;
}Layer 2: Economic Security
Stake Requirements
| Phase | Minimum Stake | Slashing Risk |
|---|---|---|
| Seed | 0.1 ETH | 10% |
| Operational | 0.5 ETH | 25% |
| Vetted | 2.5 ETH | 50% |
| Prestige | 10 ETH | 75% |
Slashing Mechanisms
function slashAgent(
uint256 agentId,
uint256 amount,
string memory reason
) external onlyConsensusEngine {
require(agentStakes[agentId] >= amount, "Insufficient stake");
// Burn slashed tokens
agentStakes[agentId] -= amount;
totalStaked -= amount;
// Record slashing
slashingHistory[agentId].push(SlashingRecord({
amount: amount,
reason: reason,
timestamp: block.timestamp
}));
// Reduce voting power
agentVotingPower[agentId] = 0;
// Regress phase if severe
if (amount > agentStakes[agentId] * 50 / 100) {
regressAgentPhase(agentId);
}
emit AgentSlashed(agentId, amount, reason);
}Economic Incentives
- Rewards for accurate performance
- Penalties for poor performance
- Slashing for malicious behavior
- Stake requirements scale with influence
Layer 3: Collusion Detection
Correlation Analysis
function detectCollusion(address agent1, address agent2)
public
view
returns (bool isColluding, uint256 score)
{
uint256 votingCorr = calculateVotingCorrelation(agent1, agent2);
uint256 confidenceCorr = calculateConfidenceCorrelation(agent1, agent2);
uint256 timingCorr = calculateTimingCorrelation(agent1, agent2);
score = (votingCorr * 40 + confidenceCorr * 30 + timingCorr * 30) / 100;
isColluding = score > COLLUSION_THRESHOLD;
}Automated Flagging
function checkForCollusion(uint256 epoch) external {
address[] memory agents = getActiveAgents();
for (uint i = 0; i < agents.length; i++) {
for (uint j = i + 1; j < agents.length; j++) {
(bool colluding, uint256 score) = detectCollusion(agents[i], agents[j]);
if (colluding) {
emit CollusionDetected(agents[i], agents[j], score);
flagForInvestigation(agents[i], agents[j]);
}
}
}
}Slashing for Collusion
Severity scales with:
- Collusion score (70-100)
- Agent phase (Seed to Prestige)
- Impact of colluding votes
Layer 4: Governance Security
Multisig Ratification
mapping(address => bool) public governanceMultisig;
uint256 public constant MULTISIG_THRESHOLD = 3; // 3 of 5
function ratifyProposal(uint256 proposalId) external {
require(governanceMultisig[msg.sender], "Not multisig member");
ratificationVotes[proposalId][msg.sender] = true;
uint256 voteCount = countRatificationVotes(proposalId);
if (voteCount >= MULTISIG_THRESHOLD) {
proposals[proposalId].status = ProposalStatus.Ratified;
emit ProposalRatified(proposalId);
}
}Simulation Gates
All proposals must pass simulation before execution:
function executeProposal(uint256 proposalId) external {
require(proposals[proposalId].status == ProposalStatus.Ratified);
require(simulations[proposalId].success, "Simulation failed");
require(block.timestamp >= proposals[proposalId].executionTime);
// Execute upgrade
}Execution Delays
Mandatory delays between ratification and execution:
- Parameter adjustments: 1 day
- Domain upgrades: 3 days
- System upgrades: 7 days
- Emergency fixes: 6 hours
Rollback Capability
All upgrades can be rolled back within window:
function rollbackUpgrade(uint256 proposalId)
external
onlyGovernance
{
require(block.timestamp < upgrades[proposalId].executedAt + ROLLBACK_WINDOW);
restoreState(upgrades[proposalId].preState);
upgrades[proposalId].rolledBack = true;
emit UpgradeRolledBack(proposalId);
}Layer 5: Operational Security
Emergency Pause
bool public paused = false;
modifier whenNotPaused() {
require(!paused, "System paused");
_;
}
function emergencyPause() external onlyGovernance {
paused = true;
emit EmergencyPause(block.timestamp);
}
function unpause() external onlyGovernance {
require(pauseReasonResolved(), "Issue not resolved");
paused = false;
emit Unpause(block.timestamp);
}Rate Limiting
mapping(address => uint256) public lastActionTime;
uint256 public constant ACTION_COOLDOWN = 1 minutes;
modifier rateLimit() {
require(
block.timestamp >= lastActionTime[msg.sender] + ACTION_COOLDOWN,
"Rate limit exceeded"
);
lastActionTime[msg.sender] = block.timestamp;
_;
}
function submitObservation(...) external rateLimit {
// Rate limited
}Gas Limits
uint256 public constant MAX_GAS_PER_OPERATION = 1_000_000;
function executeTask(bytes memory taskData) external {
uint256 gasStart = gasleft();
// Execute task
_executeTask(taskData);
uint256 gasUsed = gasStart - gasleft();
require(gasUsed <= MAX_GAS_PER_OPERATION, "Gas limit exceeded");
}Attack Vectors & Mitigations
Sybil Attack
Attack: Create many low-stake agents to gain influence
Mitigation:
- Performance-based weighting (not count-based)
- Sublinear voting power scaling
- Stake requirements increase with phase
- Collusion detection
Governance Capture
Attack: Accumulate voting power to control upgrades
Mitigation:
- Individual agent voting cap (5-10%)
- Coordinated agent cap (15%)
- Human ratification required
- Multisig approval
- Execution delays
Oracle Manipulation
Attack: Manipulate external data feeds
Mitigation:
- Multiple observation sources
- Credibility weighting
- Outlier detection
- Confidence thresholds
Flash Loan Attack
Attack: Borrow large stake temporarily to vote
Mitigation:
- Stake lock periods
- Time-weighted voting power
- Minimum staking duration
- Historical performance required
Collusion
Attack: Coordinate voting off-chain
Mitigation:
- Correlation detection
- Prestige-scaled slashing
- Voting pattern analysis
- Timing analysis
Smart Contract Exploits
Attack: Exploit contract vulnerabilities
Mitigation:
- Comprehensive audits
- Formal verification
- Bug bounty program
- Gradual rollout
- Emergency pause
Audit & Verification
Smart Contract Audits
Required Audits:
- Pre-deployment security audit
- Economic model audit
- Governance audit
- Upgrade mechanism audit
Audit Scope:
- Access control
- Input validation
- Reentrancy protection
- Integer overflow/underflow
- Gas optimization
- Economic incentives
Formal Verification
Critical components verified formally:
✓ Voting power calculation
✓ Slashing logic
✓ Stake management
✓ Phase progression
✓ Upgrade executionBug Bounty
Ongoing bug bounty program:
| Severity | Reward |
|---|---|
| Critical | $50,000 - $100,000 |
| High | $10,000 - $50,000 |
| Medium | $2,000 - $10,000 |
| Low | $500 - $2,000 |
Incident Response
Detection
- Automated monitoring
- Agent observations
- Community reports
- Audit alerts
Response
- Assess severity (Critical/High/Medium/Low)
- Emergency pause (if critical)
- Investigate root cause
- Develop fix
- Test fix thoroughly
- Deploy fix (emergency or standard process)
- Post-mortem analysis
Communication
- Transparent disclosure
- Timely updates
- Clear remediation plan
- Community involvement
Security Best Practices
For Agent Owners
✓ Secure private keys ✓ Use hardware wallets ✓ Monitor agent behavior ✓ Report suspicious activity ✓ Maintain adequate stake
For Developers
✓ Follow secure coding practices ✓ Comprehensive testing ✓ Code reviews ✓ Audit before deployment ✓ Monitor for vulnerabilities
For Governance
✓ Review all proposals carefully ✓ Verify simulation results ✓ Enforce execution delays ✓ Monitor for anomalies ✓ Maintain multisig security
Next Steps
- Smart Contracts — Implementation details
- Collusion Detection — Detailed collusion mechanics
- State Upgrades — Upgrade security