π‘οΈ Security GuidelinesΒΆ
π Licensed Component - Contact: bajpaikrishna715@gmail.com for licensing
π Security OverviewΒΆ
QuantumLangChain implements comprehensive security measures leveraging both classical cybersecurity and quantum cryptography.
π Quantum Security ArchitectureΒΆ
graph TB
subgraph "Quantum Security Layer"
A[Quantum Key Distribution]
B[Quantum Authentication]
C[Quantum Encryption]
D[Quantum Digital Signatures]
end
subgraph "Classical Security Layer"
E[TLS/SSL Encryption]
F[OAuth 2.0 / JWT]
G[API Rate Limiting]
H[Input Validation]
end
subgraph "Application Security"
I[Secure Quantum Circuits]
J[Memory Protection]
K[Audit Logging]
L[Access Controls]
end
A --> E
B --> F
C --> G
D --> H
E --> I
F --> J
G --> K
H --> L
π Quantum CryptographyΒΆ
Quantum Key Distribution (QKD)ΒΆ
# Quantum key distribution implementation
from quantum_langchain.security import QuantumKeyDistribution
qkd = QuantumKeyDistribution()
# Generate quantum keys
quantum_key = qkd.generate_bb84_key(
key_length=256,
error_threshold=0.05
)
# Secure key exchange
secure_channel = qkd.establish_secure_channel(
participant_a="alice",
participant_b="bob",
protocol="bb84"
)
Quantum AuthenticationΒΆ
# Quantum authentication protocols
from quantum_langchain.security import QuantumAuthentication
auth = QuantumAuthentication()
# Create quantum identity
quantum_identity = auth.create_quantum_identity(
user_id="user123",
quantum_signature=quantum_key
)
# Verify quantum identity
is_authentic = auth.verify_quantum_identity(
identity=quantum_identity,
challenge=quantum_challenge
)
Quantum EncryptionΒΆ
# Quantum encryption for sensitive data
from quantum_langchain.security import QuantumEncryption
encryption = QuantumEncryption()
# Encrypt data with quantum methods
encrypted_data = encryption.quantum_encrypt(
data="sensitive information",
quantum_key=quantum_key,
algorithm="quantum_otp"
)
# Decrypt with quantum verification
decrypted_data = encryption.quantum_decrypt(
encrypted_data=encrypted_data,
quantum_key=quantum_key,
verify_integrity=True
)
π Classical Security MeasuresΒΆ
API SecurityΒΆ
# Secure API configuration
from quantum_langchain.security import APISecurityManager
security_manager = APISecurityManager()
# Configure authentication
security_manager.configure_auth(
method="jwt",
secret_key=os.getenv("JWT_SECRET"),
token_expiry=3600
)
# Setup rate limiting
security_manager.configure_rate_limiting(
requests_per_minute=100,
burst_limit=20
)
# Input validation
security_manager.configure_validation(
max_payload_size="10MB",
allowed_content_types=["application/json"],
sanitization_rules=["xss", "sql_injection"]
)
Data ProtectionΒΆ
# Data protection and encryption
from quantum_langchain.security import DataProtection
protection = DataProtection()
# Encrypt sensitive data at rest
protection.configure_encryption_at_rest(
algorithm="AES-256-GCM",
key_rotation_interval=30 # days
)
# Encrypt data in transit
protection.configure_encryption_in_transit(
tls_version="1.3",
cipher_suites=["ECDHE-RSA-AES256-GCM-SHA384"]
)
# Data anonymization
protection.configure_anonymization(
pii_detection=True,
anonymization_method="differential_privacy"
)
π‘οΈ Quantum Circuit SecurityΒΆ
Secure Circuit DesignΒΆ
# Secure quantum circuit implementation
from quantum_langchain.security import SecureQuantumCircuits
secure_circuits = SecureQuantumCircuits()
# Create tamper-resistant circuits
secure_circuit = secure_circuits.create_secure_circuit(
algorithm="quantum_search",
protection_level="high",
integrity_checks=True
)
# Verify circuit integrity
is_secure = secure_circuits.verify_circuit_integrity(
circuit=secure_circuit,
expected_hash="sha256_hash"
)
Quantum State ProtectionΒΆ
# Protect quantum states from interference
from quantum_langchain.security import QuantumStateProtection
state_protection = QuantumStateProtection()
# Implement quantum error correction
protected_state = state_protection.apply_error_correction(
quantum_state=vulnerable_state,
code_type="surface_code"
)
# Monitor for decoherence attacks
state_protection.monitor_decoherence(
state=protected_state,
alert_threshold=0.95 # fidelity threshold
)
π Security MonitoringΒΆ
Threat DetectionΒΆ
# Security monitoring and threat detection
from quantum_langchain.security import ThreatDetector
detector = ThreatDetector()
# Configure anomaly detection
detector.configure_anomaly_detection(
baseline_period="7days",
sensitivity="medium",
quantum_specific_threats=True
)
# Real-time monitoring
detector.start_monitoring([
"quantum_state_tampering",
"classical_injection_attacks",
"unauthorized_access",
"data_exfiltration"
])
Audit LoggingΒΆ
# Comprehensive audit logging
from quantum_langchain.security import AuditLogger
audit_logger = AuditLogger()
# Configure audit trail
audit_logger.configure(
log_level="INFO",
retention_period="1year",
encryption=True,
tamper_protection=True
)
# Log security events
@audit_logger.log_security_event
def sensitive_operation(user_id, operation):
# Perform sensitive operation
return result
π Access ControlΒΆ
Role-Based Access Control (RBAC)ΒΆ
# Implement RBAC for quantum resources
from quantum_langchain.security import QuantumRBAC
rbac = QuantumRBAC()
# Define roles
rbac.define_role("quantum_researcher", permissions=[
"read_quantum_memory",
"execute_quantum_circuits",
"view_quantum_results"
])
rbac.define_role("quantum_administrator", permissions=[
"manage_quantum_backends",
"configure_security",
"access_all_resources"
])
# Assign roles to users
rbac.assign_role("user123", "quantum_researcher")
Attribute-Based Access Control (ABAC)ΒΆ
# Advanced ABAC for fine-grained control
from quantum_langchain.security import QuantumABAC
abac = QuantumABAC()
# Define access policies
abac.create_policy(
name="quantum_memory_access",
subject="user.role == 'researcher'",
resource="quantum_memory",
action="read",
condition="time.hour >= 9 AND time.hour <= 17"
)
π¨ Incident ResponseΒΆ
Security Incident HandlingΒΆ
# Automated incident response
from quantum_langchain.security import IncidentResponse
incident_response = IncidentResponse()
# Configure response procedures
incident_response.configure_procedures({
"quantum_state_tampering": [
"isolate_affected_qubits",
"restore_from_backup",
"notify_security_team"
],
"unauthorized_access": [
"revoke_access_tokens",
"audit_access_logs",
"reset_quantum_keys"
]
})
# Automated response triggers
@incident_response.trigger_on("security_alert")
def handle_security_incident(alert):
return incident_response.execute_procedure(alert.type)
π§ Security ConfigurationΒΆ
Environment SecurityΒΆ
# Secure environment configuration
from quantum_langchain.security import EnvironmentSecurity
env_security = EnvironmentSecurity()
# Secure configuration management
env_security.configure_secrets_management(
provider="hashicorp_vault",
encryption="AES-256",
rotation_policy="weekly"
)
# Environment isolation
env_security.configure_isolation(
quantum_sandbox=True,
classical_containers=True,
network_segmentation=True
)
Compliance ConfigurationΒΆ
# Compliance and regulatory requirements
from quantum_langchain.security import ComplianceManager
compliance = ComplianceManager()
# Configure compliance frameworks
compliance.configure_frameworks([
"GDPR",
"HIPAA",
"SOC2",
"NIST_Quantum_Cryptography"
])
# Automated compliance monitoring
compliance.start_monitoring(
audit_frequency="daily",
reporting=True,
alerts=True
)
π‘οΈ Security Best PracticesΒΆ
Quantum Security GuidelinesΒΆ
- Quantum Key Management
- Regularly rotate quantum keys
- Use quantum-safe algorithms
-
Implement key escrow for recovery
-
Circuit Security
- Validate circuit integrity
- Use secure compilation
-
Monitor for tampering
-
State Protection
- Implement error correction
- Monitor decoherence
- Use secure quantum channels
Classical Security GuidelinesΒΆ
- Authentication & Authorization
- Use multi-factor authentication
- Implement least privilege access
-
Regular access reviews
-
Data Protection
- Encrypt data at rest and in transit
- Implement data loss prevention
-
Regular security assessments
-
Network Security
- Use secure communication protocols
- Implement network segmentation
- Monitor network traffic
π Security TestingΒΆ
Penetration TestingΒΆ
# Security testing framework
from quantum_langchain.security.testing import SecurityTester
tester = SecurityTester()
# Quantum-specific security tests
results = tester.run_quantum_security_tests([
"quantum_state_injection",
"entanglement_breaking",
"measurement_attacks",
"decoherence_exploits"
])
# Classical security tests
classical_results = tester.run_classical_security_tests([
"sql_injection",
"xss_attacks",
"authentication_bypass",
"privilege_escalation"
])
π Security MetricsΒΆ
Security KPIsΒΆ
- Quantum Key Distribution Success Rate: > 99.5%
- Threat Detection Accuracy: > 95%
- Incident Response Time: < 15 minutes
- Security Audit Compliance: 100%
- Quantum State Integrity: > 99.9%
Security DashboardΒΆ
# Security monitoring dashboard
from quantum_langchain.security import SecurityDashboard
dashboard = SecurityDashboard()
# Configure security metrics
dashboard.add_metrics([
"active_threats",
"quantum_key_status",
"authentication_failures",
"data_encryption_status",
"compliance_score"
])
# Real-time security monitoring
dashboard.start_monitoring(port=8443, ssl=True)
π License RequirementsΒΆ
Security features require Enterprise licensing for full quantum cryptography capabilities. Contact bajpaikrishna715@gmail.com for licensing.
π License Notice: Advanced security features require appropriate licensing tiers. Contact bajpaikrishna715@gmail.com for access.