Post-Quantum Cryptography
LP-4202
ReviewCryptographic Agility Framework
Dynamic cryptographic algorithm selection and upgrade mechanisms
Abstract
This proposal establishes a cryptographic agility framework that enables dynamic algorithm selection, seamless upgrades, and rapid response to cryptographic breakthroughs. The framework supports multiple algorithm families simultaneously, allowing the network to adapt to evolving threats without hard forks.
Motivation
Cryptographic agility is essential for long-term blockchain security:
- Algorithm Breaks: Rapid response if an algorithm is compromised
- Performance Evolution: Adopt faster algorithms as they emerge
- Regional Compliance: Different algorithms for different jurisdictions
- AI/Quantum Advances: Adapt to new computational capabilities
- Zero-Day Response: Emergency algorithm swaps within hours
Specification
1. Algorithm Registry
Dynamic Algorithm Management
type AlgorithmRegistry struct {
// Algorithm definitions
Algorithms map[AlgorithmID]*AlgorithmSpec
// Security levels
SecurityLevels map[SecurityLevel][]AlgorithmID
// Performance metrics
Benchmarks map[AlgorithmID]*PerformanceMetrics
// Deprecation schedule
Deprecations map[AlgorithmID]*DeprecationNotice
// Emergency overrides
EmergencyMode bool
}
type AlgorithmSpec struct {
ID AlgorithmID `json:"id"`
Family AlgorithmFamily `json:"family"`
Name string `json:"name"`
Version string `json:"version"`
SecurityLevel uint32 `json:"security_level"`
QuantumSafe bool `json:"quantum_safe"`
KeySize KeySizeRange `json:"key_size"`
SignatureSize uint32 `json:"signature_size"`
Implementation ImplementationSpec `json:"implementation"`
ActivationHeight uint64 `json:"activation_height"`
Parameters []byte `json:"parameters"`
}
type AlgorithmFamily uint8
const (
FamilyEllipticCurve AlgorithmFamily = 0x00 // ECDSA, EdDSA
FamilyLattice AlgorithmFamily = 0x01 // ML-KEM, ML-DSA
FamilyHash AlgorithmFamily = 0x02 // SLH-DSA, XMSS
FamilyCode AlgorithmFamily = 0x03 // McEliece
FamilyMultivariate AlgorithmFamily = 0x04 // Rainbow, UOV
FamilyIsogeny AlgorithmFamily = 0x05 // SIKE (broken)
FamilySymmetric AlgorithmFamily = 0x06 // AES, ChaCha20
FamilyExperimental AlgorithmFamily = 0xFF // Research algorithms
)
Algorithm Lifecycle
Lifecycle States:
Proposed:
- Submitted for review
- Testnet deployment only
- Performance benchmarking
Approved:
- Security audit passed
- Mainnet activation scheduled
- Migration tools available
Active:
- Available for use
- Full node support
- Hardware acceleration enabled
Deprecated:
- Security concerns identified
- Migration deadline set
- Read-only support
Removed:
- No longer validated
- Historical verification only
- Archive mode required
2. Agile Signature Scheme
Multi-Algorithm Signatures
type AgileSignature struct {
Version uint8 `json:"version"`
AlgorithmID AlgorithmID `json:"algorithm_id"`
PublicKeyHash Hash256 `json:"pubkey_hash"`
Signature []byte `json:"signature"`
AlternateProofs []AlternateProof `json:"alternate_proofs"`
Metadata SignatureMetadata `json:"metadata"`
}
type AlternateProof struct {
AlgorithmID AlgorithmID `json:"algorithm_id"`
Proof []byte `json:"proof"`
Weight uint8 `json:"weight"` // Contribution to validation
}
type SignatureMetadata struct {
Timestamp uint64 `json:"timestamp"`
SecurityLevel uint32 `json:"security_level"`
HardwareToken bool `json:"hardware_token"`
ThresholdShare *ThresholdInfo `json:"threshold_share,omitempty"`
}
Validation Logic
func (v *AgileValidator) Validate(
message []byte,
signature *AgileSignature,
policy *ValidationPolicy,
) error {
// Check algorithm status
algo := v.registry.GetAlgorithm(signature.AlgorithmID)
if algo == nil {
return ErrUnknownAlgorithm
}
if algo.IsDeprecated() && !policy.AllowDeprecated {
return ErrDeprecatedAlgorithm
}
// Verify signature
verifier := v.getVerifier(signature.AlgorithmID)
if !verifier.Verify(message, signature.Signature, signature.PublicKeyHash) {
return ErrInvalidSignature
}
// Check security level
if algo.SecurityLevel < policy.MinSecurityLevel {
// Require additional proofs
return v.validateAlternateProofs(message, signature, policy)
}
return nil
}
3. Emergency Response Protocol
Algorithm Compromise Response
type EmergencyProtocol struct {
// Threat detection
ThreatMonitor *ThreatMonitor
// Response team
ResponseTeam []Responder
// Automated actions
AutoResponse bool
// Migration tools
MigrationEngine *MigrationEngine
}
func (e *EmergencyProtocol) HandleCompromise(
algorithm AlgorithmID,
threat ThreatLevel,
) error {
// 1. Immediate response (< 1 minute)
if threat >= ThreatCritical {
e.registry.EmergencyDeprecate(algorithm)
e.network.BroadcastAlert(AlgorithmCompromiseAlert{
Algorithm: algorithm,
Threat: threat,
Action: "STOP_USING_IMMEDIATELY",
})
}
// 2. Activate fallback (< 1 hour)
fallback := e.selectFallbackAlgorithm(algorithm)
e.registry.ActivateEmergency(fallback)
// 3. Begin migration (< 24 hours)
migration := e.MigrationEngine.CreateEmergencyMigration(
from: algorithm,
to: fallback,
deadline: time.Now().Add(7 * 24 * time.Hour),
)
// 4. Force upgrade (< 7 days)
e.network.ScheduleHardFork(
height: CurrentHeight() + 20160, // ~7 days
changes: []Change{
RemoveAlgorithm(algorithm),
RequireAlgorithm(fallback),
},
)
return nil
}
Quantum Threat Escalation
Quantum Threat Levels:
Green (Safe):
- No immediate threat
- Continue monitoring
- Research new algorithms
Yellow (Caution):
- Quantum progress accelerating
- Begin migration planning
- Activate hybrid mode
Orange (Warning):
- Credible near-term threat
- Mandatory migration begins
- Accelerate timeline
Red (Critical):
- Active quantum threat
- Emergency migration
- Disable classical crypto
Black (Compromised):
- Algorithm broken
- Immediate shutdown
- Emergency recovery mode
4. Performance Optimization
Adaptive Algorithm Selection
type AdaptiveSelector struct {
// Performance history
metrics *MetricsDB
// Network conditions
network *NetworkMonitor
// User preferences
preferences map[Address]AlgorithmPreference
}
func (s *AdaptiveSelector) SelectOptimal(
context *TransactionContext,
) AlgorithmID {
// Consider multiple factors
factors := s.analyzeContext(context)
candidates := s.registry.GetActiveAlgorithms()
scores := make(map[AlgorithmID]float64)
for _, algo := range candidates {
score := 0.0
// Security weight: 40%
score += 0.4 * float64(algo.SecurityLevel) / 256
// Performance weight: 30%
perf := s.metrics.GetPerformance(algo.ID)
score += 0.3 * (1.0 / perf.VerificationTime)
// Size weight: 20%
score += 0.2 * (1.0 / float64(algo.SignatureSize))
// Compatibility weight: 10%
compat := s.network.GetCompatibility(algo.ID)
score += 0.1 * compat
scores[algo.ID] = score
}
return s.selectBest(scores)
}
Hardware Acceleration Registry
type HardwareAcceleration struct {
Algorithm AlgorithmID
Hardware HardwareType
Speedup float64
Available bool
}
const (
HardwareCPU HardwareType = "CPU" // AVX2, SHA extensions
HardwareGPU HardwareType = "GPU" // CUDA, OpenCL
HardwareFPGA HardwareType = "FPGA" // Custom circuits
HardwareASIC HardwareType = "ASIC" // Dedicated chips
HardwareQPU HardwareType = "QPU" // Quantum processor
)
5. Compliance and Standards
Regional Algorithm Requirements
contract RegionalCompliance {
struct RegionalPolicy {
bytes32 region;
AlgorithmID[] required;
AlgorithmID[] forbidden;
uint256 effectiveDate;
}
mapping(bytes32 => RegionalPolicy) public policies;
function validateTransaction(
Transaction memory tx,
bytes32 region
) public view returns (bool) {
RegionalPolicy memory policy = policies[region];
// Check if algorithm is allowed
if (!isAllowed(tx.signatureAlgorithm, policy)) {
return false;
}
// Additional regional checks
return performRegionalChecks(tx, region);
}
}
AI/ML Integration Points
class CryptoAgilityAI:
def predict_algorithm_security(self, algorithm_id: str) -> SecurityPrediction:
"""
AI model predicts future security of algorithms
based on quantum computing progress and cryptanalysis
"""
features = self.extract_features(algorithm_id)
quantum_timeline = self.quantum_predictor.predict()
return SecurityPrediction(
algorithm=algorithm_id,
safe_until=self.model.predict_break_date(features, quantum_timeline),
confidence=self.model.confidence,
recommendations=self.generate_recommendations()
)
def optimize_migration_strategy(self, network_state: NetworkState) -> MigrationPlan:
"""
ML optimization for migration timing and strategy
"""
return self.reinforcement_learner.optimize(
state=network_state,
objectives=[
MinimizeDisruption(),
MaximizeSecurity(),
MinimizeCost()
]
)
Rationale
Why Cryptographic Agility?
- Future-Proof: Adapt to unforeseen developments
- Risk Management: Multiple algorithms reduce single points of failure
- Performance: Use optimal algorithms for each use case
- Compliance: Meet evolving regulatory requirements
- Innovation: Quickly adopt new algorithms
Design Principles
- No Single Point of Failure: Multiple algorithm families
- Graceful Degradation: System remains secure even if algorithms fail
- Rapid Response: Minutes to hours, not days to weeks
- User Transparency: Clear communication of changes
- Backward Compatibility: Support historical verification
Backwards Compatibility
- Algorithm Versioning: Clear version negotiation
- Legacy Support: Old algorithms remain readable
- Migration Tools: Automated upgrade assistance
- Archive Nodes: Full history preservation
Test Cases
func TestCryptoAgility(t *testing.T) {
registry := NewAlgorithmRegistry()
// Add multiple algorithms
registry.Register(ECDSA256)
registry.Register(ML_DSA_65)
registry.Register(SLH_DSA_192)
// Test algorithm selection
selector := NewAdaptiveSelector(registry)
optimal := selector.SelectOptimal(context)
assert.NotNil(t, optimal)
// Test emergency deprecation
registry.EmergencyDeprecate(ECDSA256)
assert.True(t, registry.IsDeprecated(ECDSA256))
// Test migration
migration := NewMigration(ECDSA256, ML_DSA_65)
assert.NoError(t, migration.Execute())
// Test multi-algorithm validation
sig := SignWithMultiple([]AlgorithmID{ML_DSA_65, SLH_DSA_192})
assert.True(t, ValidateAgile(sig))
}
Security Considerations
- Algorithm Diversity: Use algorithms from different mathematical families
- Migration Security: Ensure secure transition between algorithms
- Downgrade Prevention: Never allow reverting to broken algorithms
- Emergency Response: Have pre-planned responses for various scenarios
- Monitoring: Continuous assessment of algorithm security
Implementation Timeline
- Month 1: Deploy algorithm registry
- Month 2: Implement agile signatures
- Month 3: Emergency response protocols
- Month 4: Performance optimization
- Month 5: Compliance framework
- Month 6: Production deployment
References
- RFC 7696: Guidelines for Cryptographic Algorithm Agility
- NIST SP 800-57: Key Management Recommendations
- Housley, R. "Cryptographic Algorithm Agility"
- BSI: Cryptographic Agility in Practice
- IETF: Algorithm Agility in DNSSEC
Copyright
Copyright and related rights waived via CC0.```