# Quantum threat timeline assessment
quantum_threat_timeline = {
    "2024-2027": {
        "risk_level": "LOW",
        "quantum_capability": "50-100 qubits",
        "threat_to_iam": "Minimal immediate risk",
        "recommended_action": "Begin planning and research"
    },
    "2028-2032": {
        "risk_level": "MEDIUM",
        "quantum_capability": "1000+ qubits",
        "threat_to_iam": "Threat to smaller key sizes",
        "recommended_action": "Start hybrid implementations"
    },
    "2033-2040": {
        "risk_level": "HIGH",
        "quantum_capability": "10,000+ qubits",
        "threat_to_iam": "Full threat to current systems",
        "recommended_action": "Complete migration to post-quantum"
    }
}

# Example: CRYSTALS-Kyber implementation for key exchange
from pqcrypto.kem.kyber512 import generate_keypair, encrypt, decrypt

class PostQuantumKeyExchange:
    def __init__(self):
        self.public_key, self.private_key = generate_keypair()
    
    def generate_shared_secret(self, peer_public_key):
        """Generate shared secret using post-quantum KEM"""
        ciphertext, shared_secret = encrypt(peer_public_key)
        return ciphertext, shared_secret
    
    def decrypt_shared_secret(self, ciphertext):
        """Decrypt shared secret using private key"""
        shared_secret = decrypt(ciphertext, self.private_key)
        return shared_secret

# Usage in IAM context
def establish_quantum_safe_session(user_id, service_id):
    """Establish quantum-safe session between user and service"""
    user_kex = PostQuantumKeyExchange()
    service_kex = PostQuantumKeyExchange()
    
    # Exchange public keys
    user_ciphertext, user_secret = user_kex.generate_shared_secret(service_kex.public_key)
    service_secret = service_kex.decrypt_shared_secret(user_ciphertext)
    
    # Verify shared secrets match
    assert user_secret == service_secret
    
    return {
        'session_id': generate_session_id(),
        'shared_secret': user_secret,
        'algorithm': 'CRYSTALS-Kyber-512',
        'quantum_safe': True
    }

# CRYSTALS-Dilithium for post-quantum digital signatures
from pqcrypto.sign.dilithium2 import generate_keypair, sign, verify

class PostQuantumDigitalSignature:
    def __init__(self):
        self.public_key, self.private_key = generate_keypair()
    
    def sign_identity_assertion(self, user_claims):
        """Sign identity assertion with post-quantum signature"""
        message = json.dumps(user_claims, sort_keys=True).encode()
        signature = sign(message, self.private_key)
        
        return {
            'claims': user_claims,
            'signature': base64.b64encode(signature).decode(),
            'algorithm': 'CRYSTALS-Dilithium-2',
            'public_key': base64.b64encode(self.public_key).decode(),
            'timestamp': datetime.utcnow().isoformat()
        }
    
    def verify_identity_assertion(self, signed_assertion):
        """Verify post-quantum signed identity assertion"""
        try:
            signature = base64.b64decode(signed_assertion['signature'])
            public_key = base64.b64decode(signed_assertion['public_key'])
            message = json.dumps(signed_assertion['claims'], sort_keys=True).encode()
            
            # Verify signature
            verify(signature, message, public_key)
            return True
        except Exception as e:
            print(f"Signature verification failed: {e}")
            return False

# Hash-based signatures for long-term identity verification
import hashlib
from cryptography.hazmat.primitives import hashes

class XMSSIdentityManager:
    def __init__(self, tree_height=10):
        self.tree_height = tree_height
        self.max_signatures = 2 ** tree_height
        self.signature_count = 0
        self.merkle_tree = self.generate_merkle_tree()
    
    def generate_merkle_tree(self):
        """Generate Merkle tree for XMSS signatures"""
        # Simplified XMSS implementation
        leaves = []
        for i in range(self.max_signatures):
            # Generate one-time signature key pair
            ots_keypair = self.generate_ots_keypair(i)
            leaf_hash = hashlib.sha256(ots_keypair['public_key']).digest()
            leaves.append(leaf_hash)
        
        # Build Merkle tree
        tree = self.build_merkle_tree(leaves)
        return tree
    
    def sign_identity_token(self, identity_data):
        """Sign identity token using XMSS"""
        if self.signature_count >= self.max_signatures:
            raise Exception("Maximum signatures reached, need new key")
        
        # Use one-time signature for this signing operation
        ots_signature = self.generate_ots_signature(identity_data, self.signature_count)
        merkle_path = self.get_merkle_path(self.signature_count)
        
        signature = {
            'ots_signature': ots_signature,
            'merkle_path': merkle_path,
            'leaf_index': self.signature_count,
            'algorithm': 'XMSS-SHA256'
        }
        
        self.signature_count += 1
        return signature
    
    def verify_identity_token(self, identity_data, signature, public_key):
        """Verify XMSS signature on identity token"""
        # Verify one-time signature
        ots_valid = self.verify_ots_signature(
            identity_data, 
            signature['ots_signature'], 
            signature['leaf_index']
        )
        
        if not ots_valid:
            return False
        
        # Verify Merkle path
        merkle_valid = self.verify_merkle_path(
            signature['merkle_path'],
            signature['leaf_index'],
            public_key
        )
        
        return merkle_valid

class PostQuantumMFA:
    def __init__(self):
        self.factors = {
            'knowledge': PostQuantumPasswordAuth(),
            'possession': PostQuantumTokenAuth(),
            'inherence': PostQuantumBiometricAuth(),
            'behavior': PostQuantumBehavioralAuth()
        }
    
    def authenticate_user(self, user_id, auth_factors):
        """Perform post-quantum multi-factor authentication"""
        authentication_results = {}
        
        for factor_type, factor_data in auth_factors.items():
            if factor_type in self.factors:
                result = self.factors[factor_type].authenticate(user_id, factor_data)
                authentication_results[factor_type] = result
        
        # Require at least 2 factors for authentication
        successful_factors = sum(1 for result in authentication_results.values() if result['success'])
        
        if successful_factors >= 2:
            return self.generate_quantum_safe_token(user_id, authentication_results)
        else:
            return {'success': False, 'reason': 'Insufficient authentication factors'}
    
    def generate_quantum_safe_token(self, user_id, auth_results):
        """Generate quantum-safe authentication token"""
        token_data = {
            'user_id': user_id,
            'auth_factors': list(auth_results.keys()),
            'timestamp': datetime.utcnow().isoformat(),
            'expires': (datetime.utcnow() + timedelta(hours=8)).isoformat(),
            'quantum_safe': True
        }
        
        # Sign token with post-quantum signature
        signature_manager = PostQuantumDigitalSignature()
        signed_token = signature_manager.sign_identity_assertion(token_data)
        
        return {
            'success': True,
            'token': signed_token,
            'algorithm': 'CRYSTALS-Dilithium-2'
        }

class PostQuantumBiometricAuth:
    def __init__(self):
        self.template_encryptor = PostQuantumEncryption()
        self.fuzzy_extractor = FuzzyExtractor()
    
    def enroll_biometric(self, user_id, biometric_data):
        """Enroll biometric template with post-quantum encryption"""
        # Extract stable features from biometric data
        template, helper_data = self.fuzzy_extractor.generate(biometric_data)
        
        # Encrypt template with post-quantum encryption
        encrypted_template = self.template_encryptor.encrypt(template)
        
        # Store encrypted template and helper data
        biometric_record = {
            'user_id': user_id,
            'encrypted_template': encrypted_template,
            'helper_data': helper_data,
            'algorithm': 'Kyber-512-AES',
            'enrollment_date': datetime.utcnow().isoformat()
        }
        
        return self.store_biometric_record(biometric_record)
    
    def authenticate_biometric(self, user_id, biometric_sample):
        """Authenticate using quantum-safe biometric verification"""
        # Retrieve stored biometric record
        stored_record = self.get_biometric_record(user_id)
        
        # Decrypt stored template
        decrypted_template = self.template_encryptor.decrypt(
            stored_record['encrypted_template']
        )
        
        # Extract features from sample using helper data
        sample_template = self.fuzzy_extractor.reproduce(
            biometric_sample,
            stored_record['helper_data']
        )
        
        # Compare templates
        similarity_score = self.calculate_similarity(decrypted_template, sample_template)
        
        return {
            'success': similarity_score > 0.85,
            'confidence': similarity_score,
            'quantum_safe': True
        }

class PostQuantumZKAuth:
    def __init__(self):
        self.commitment_scheme = PostQuantumCommitment()
        self.proof_system = PostQuantumZKProof()
    
    def setup_identity_proof(self, user_id, secret_attributes):
        """Setup zero-knowledge identity proof system"""
        # Generate commitment to secret attributes
        commitment, opening = self.commitment_scheme.commit(secret_attributes)
        
        # Create proof parameters
        proof_params = {
            'user_id': user_id,
            'commitment': commitment,
            'proof_circuit': self.generate_proof_circuit(secret_attributes),
            'quantum_safe': True
        }
        
        # Store commitment publicly, keep opening secret
        return {
            'public_params': proof_params,
            'private_opening': opening
        }
    
    def prove_identity(self, user_id, challenge, private_opening):
        """Generate zero-knowledge proof of identity"""
        # Generate proof that user knows secret attributes
        proof = self.proof_system.generate_proof(
            statement="I know secret attributes that hash to the committed value",
            witness=private_opening,
            challenge=challenge
        )
        
        return {
            'user_id': user_id,
            'proof': proof,
            'challenge': challenge,
            'algorithm': 'Post-Quantum-ZK-SNARK'
        }
    
    def verify_identity_proof(self, proof_data, public_params):
        """Verify zero-knowledge identity proof"""
        return self.proof_system.verify_proof(
            proof_data['proof'],
            public_params['commitment'],
            proof_data['challenge']
        )

class HybridCryptographicIAM:
    def __init__(self):
        self.classical_crypto = ClassicalCryptography()
        self.quantum_crypto = PostQuantumCryptography()
        self.security_level = "HYBRID"
    
    def hybrid_key_exchange(self, peer_id):
        """Perform hybrid key exchange using both classical and post-quantum methods"""
        # Classical key exchange (e.g., ECDH)
        classical_shared_secret = self.classical_crypto.key_exchange(peer_id)
        
        # Post-quantum key exchange (e.g., Kyber)
        pq_shared_secret = self.quantum_crypto.key_exchange(peer_id)
        
        # Combine secrets using key derivation function
        combined_secret = self.derive_hybrid_key(
            classical_shared_secret,
            pq_shared_secret
        )
        
        return {
            'shared_secret': combined_secret,
            'classical_algorithm': 'ECDH-P256',
            'pq_algorithm': 'Kyber-512',
            'security_level': 'HYBRID'
        }
    
    def hybrid_digital_signature(self, message):
        """Create hybrid digital signature"""
        # Classical signature (e.g., ECDSA)
        classical_signature = self.classical_crypto.sign(message)
        
        # Post-quantum signature (e.g., Dilithium)
        pq_signature = self.quantum_crypto.sign(message)
        
        return {
            'message': message,
            'classical_signature': classical_signature,
            'pq_signature': pq_signature,
            'hybrid': True
        }
    
    def verify_hybrid_signature(self, signed_message):
        """Verify hybrid digital signature"""
        classical_valid = self.classical_crypto.verify(
            signed_message['message'],
            signed_message['classical_signature']
        )
        
        pq_valid = self.quantum_crypto.verify(
            signed_message['message'],
            signed_message['pq_signature']
        )
        
        # Both signatures must be valid
        return classical_valid and pq_valid

post_quantum_migration:
  phase_1_assessment:
    duration: "6 months"
    activities:
      - inventory_current_cryptography
      - assess_quantum_risk
      - identify_critical_systems
      - develop_migration_roadmap
    
  phase_2_pilot:
    duration: "12 months"
    activities:
      - implement_hybrid_systems
      - test_post_quantum_algorithms
      - validate_performance_impact
      - train_security_teams
    
  phase_3_gradual_migration:
    duration: "24 months"
    activities:
      - migrate_non_critical_systems
      - implement_quantum_safe_pki
      - update_authentication_systems
      - monitor_algorithm_standards
    
  phase_4_full_deployment:
    duration: "12 months"
    activities:
      - migrate_critical_systems
      - decommission_classical_crypto
      - implement_quantum_key_distribution
      - establish_quantum_safe_operations

class PostQuantumCA:
    def __init__(self):
        self.root_keypair = self.generate_root_keypair()
        self.signature_algorithm = "CRYSTALS-Dilithium-3"
        self.certificate_store = PostQuantumCertificateStore()
    
    def generate_root_keypair(self):
        """Generate post-quantum root CA key pair"""
        from pqcrypto.sign.dilithium3 import generate_keypair
        public_key, private_key = generate_keypair()
        
        return {
            'public_key': public_key,
            'private_key': private_key,
            'algorithm': 'CRYSTALS-Dilithium-3',
            'key_size': len(public_key),
            'quantum_safe': True
        }
    
    def issue_identity_certificate(self, subject_info, subject_public_key):
        """Issue post-quantum identity certificate"""
        certificate_data = {
            'version': 3,
            'serial_number': self.generate_serial_number(),
            'signature_algorithm': self.signature_algorithm,
            'issuer': self.get_ca_subject(),
            'validity': {
                'not_before': datetime.utcnow(),
                'not_after': datetime.utcnow() + timedelta(days=365)
            },
            'subject': subject_info,
            'subject_public_key': {
                'algorithm': 'CRYSTALS-Kyber-512',
                'public_key': subject_public_key
            },
            'extensions': {
                'key_usage': ['digital_signature', 'key_encipherment'],
                'extended_key_usage': ['client_authentication', 'server_authentication'],
                'subject_alternative_name': subject_info.get('san', [])
            }
        }
        
        # Sign certificate with post-quantum signature
        certificate_bytes = self.encode_certificate(certificate_data)
        signature = self.sign_certificate(certificate_bytes)
        
        certificate = {
            'certificate_data': certificate_data,
            'signature': signature,
            'quantum_safe': True
        }
        
        # Store certificate
        self.certificate_store.store_certificate(certificate)
        
        return certificate
    
    def verify_certificate_chain(self, certificate_chain):
        """Verify post-quantum certificate chain"""
        for i, cert in enumerate(certificate_chain):
            if i == 0:
                # Verify against root CA
                issuer_public_key = self.root_keypair['public_key']
            else:
                # Verify against previous certificate in chain
                issuer_public_key = certificate_chain[i-1]['certificate_data']['subject_public_key']['public_key']
            
            if not self.verify_certificate_signature(cert, issuer_public_key):
                return False
        
        return True

class PostQuantumCertificateManager:
    def __init__(self):
        self.ca = PostQuantumCA()
        self.certificate_db = CertificateDatabase()
        self.renewal_scheduler = CertificateRenewalScheduler()
    
    def automated_certificate_lifecycle(self, identity_id):
        """Manage complete certificate lifecycle"""
        # Check if certificate exists and is valid
        current_cert = self.certificate_db.get_certificate(identity_id)
        
        if not current_cert or self.is_certificate_expiring(current_cert):
            # Generate new key pair
            new_keypair = self.generate_identity_keypair()
            
            # Request new certificate
            cert_request = self.create_certificate_request(identity_id, new_keypair['public_key'])
            new_certificate = self.ca.issue_identity_certificate(
                cert_request['subject_info'],
                cert_request['public_key']
            )
            
            # Update certificate database
            self.certificate_db.update_certificate(identity_id, new_certificate)
            
            # Schedule next renewal
            self.renewal_scheduler.schedule_renewal(
                identity_id,
                new_certificate['certificate_data']['validity']['not_after']
            )
            
            return {
                'status': 'renewed',
                'certificate': new_certificate,
                'quantum_safe': True
            }
        
        return {
            'status': 'valid',
            'certificate': current_cert,
            'quantum_safe': True
        }
    
    def revoke_certificate(self, certificate_serial, reason):
        """Revoke post-quantum certificate"""
        revocation_entry = {
            'serial_number': certificate_serial,
            'revocation_date': datetime.utcnow(),
            'reason': reason,
            'signature_algorithm': 'CRYSTALS-Dilithium-3'
        }
        
        # Sign revocation entry
        revocation_signature = self.ca.sign_revocation_entry(revocation_entry)
        
        # Add to certificate revocation list
        self.certificate_db.add_to_crl(revocation_entry, revocation_signature)
        
        return {
            'status': 'revoked',
            'serial_number': certificate_serial,
            'quantum_safe': True
        }

class QKDEnhancedIAM:
    def __init__(self):
        self.qkd_network = QuantumKeyDistributionNetwork()
        self.classical_iam = PostQuantumIAM()
        self.key_manager = QuantumKeyManager()
    
    def establish_quantum_secure_session(self, user_id, service_id):
        """Establish session using quantum-distributed keys"""
        # Check if QKD link exists between user and service
        qkd_available = self.qkd_network.check_link_availability(user_id, service_id)
        
        if qkd_available:
            # Use quantum-distributed key
            quantum_key = self.qkd_network.get_shared_key(user_id, service_id)
            
            session = {
                'session_id': generate_session_id(),
                'encryption_key': quantum_key,
                'key_source': 'QKD',
                'security_level': 'QUANTUM_SECURE',
                'information_theoretic_security': True
            }
        else:
            # Fall back to post-quantum cryptography
            session = self.classical_iam.establish_post_quantum_session(user_id, service_id)
            session['key_source'] = 'POST_QUANTUM'
            session['security_level'] = 'POST_QUANTUM_SECURE'
        
        return session
    
    def quantum_authenticated_key_agreement(self, participants):
        """Multi-party quantum authenticated key agreement"""
        # Verify all participants have quantum links
        quantum_topology = self.qkd_network.get_topology(participants)
        
        if self.is_fully_connected(quantum_topology):
            # Use quantum conference key agreement
            shared_key = self.qkd_network.conference_key_agreement(participants)
            
            return {
                'shared_key': shared_key,
                'participants': participants,
                'security_level': 'INFORMATION_THEORETIC',
                'quantum_authenticated': True
            }
        else:
            # Use hybrid approach with post-quantum backup
            return self.hybrid_key_agreement(participants, quantum_topology)

import time
import psutil
from memory_profiler import profile

class PostQuantumPerformanceBenchmark:
    def __init__(self):
        self.algorithms = {
            'kyber512': PostQuantumKyber512(),
            'kyber768': PostQuantumKyber768(),
            'dilithium2': PostQuantumDilithium2(),
            'dilithium3': PostQuantumDilithium3(),
            'falcon512': PostQuantumFalcon512()
        }
    
    def benchmark_key_generation(self, algorithm_name, iterations=1000):
        """Benchmark key generation performance"""
        algorithm = self.algorithms[algorithm_name]
        
        start_time = time.time()
        start_memory = psutil.Process().memory_info().rss
        
        for _ in range(iterations):
            algorithm.generate_keypair()
        
        end_time = time.time()
        end_memory = psutil.Process().memory_info().rss
        
        return {
            'algorithm': algorithm_name,
            'operation': 'key_generation',
            'iterations': iterations,
            'total_time': end_time - start_time,
            'avg_time_per_operation': (end_time - start_time) / iterations,
            'memory_usage': end_memory - start_memory,
            'operations_per_second': iterations / (end_time - start_time)
        }
    
    def benchmark_signature_operations(self, algorithm_name, message_size=1024, iterations=1000):
        """Benchmark signature and verification performance"""
        algorithm = self.algorithms[algorithm_name]
        keypair = algorithm.generate_keypair()
        message = b'x' * message_size
        
        # Benchmark signing
        start_time = time.time()
        signatures = []
        for _ in range(iterations):
            signature = algorithm.sign(message, keypair['private_key'])
            signatures.append(signature)
        sign_time = time.time() - start_time
        
        # Benchmark verification
        start_time = time.time()
        for signature in signatures:
            algorithm.verify(message, signature, keypair['public_key'])
        verify_time = time.time() - start_time
        
        return {
            'algorithm': algorithm_name,
            'message_size': message_size,
            'iterations': iterations,
            'sign_time': sign_time,
            'verify_time': verify_time,
            'sign_ops_per_second': iterations / sign_time,
            'verify_ops_per_second': iterations / verify_time,
            'signature_size': len(signatures[0])
        }

class DistributedPostQuantumIAM:
    def __init__(self):
        self.node_manager = IAMNodeManager()
        self.load_balancer = PostQuantumLoadBalancer()
        self.key_distribution = DistributedKeyManagement()
    
    def scale_authentication_service(self, expected_load):
        """Scale post-quantum authentication service based on load"""
        current_capacity = self.calculate_current_capacity()
        
        if expected_load > current_capacity * 0.8:
            # Scale up
            new_nodes = self.calculate_required_nodes(expected_load)
            for _ in range(new_nodes):
                node = self.deploy_authentication_node()
                self.distribute_keys_to_node(node)
                self.load_balancer.add_node(node)
        
        elif expected_load < current_capacity * 0.3:
            # Scale down
            excess_nodes = self.calculate_excess_nodes(expected_load)
            for _ in range(excess_nodes):
                node = self.load_balancer.remove_least_loaded_node()
                self.revoke_node_keys(node)
                self.node_manager.terminate_node(node)
    
    def distribute_certificate_validation(self, certificate_requests):
        """Distribute certificate validation across nodes"""
        validation_tasks = []
        
        for request in certificate_requests:
            # Assign to node based on load and algorithm support
            optimal_node = self.load_balancer.select_optimal_node(
                algorithm=request['signature_algorithm'],
                current_load=True
            )
            
            task = {
                'node_id': optimal_node.id,
                'certificate': request['certificate'],
                'validation_type': 'post_quantum',
                'priority': request.get('priority', 'normal')
            }
            
            validation_tasks.append(task)
        
        # Execute validation tasks in parallel
        results = self.execute_parallel_validation(validation_tasks)
        return results

class CryptographicInventoryTool:
    def __init__(self):
        self.scanners = {
            'certificate_scanner': CertificateScanner(),
            'code_scanner': CryptographicCodeScanner(),
            'config_scanner': ConfigurationScanner(),
            'network_scanner': NetworkProtocolScanner()
        }
    
    def scan_infrastructure(self, target_scope):
        """Comprehensive scan of cryptographic usage"""
        inventory = {
            'certificates': [],
            'code_references': [],
            'configurations': [],
            'network_protocols': [],
            'quantum_readiness': {}
        }
        
        # Scan certificates
        certificates = self.scanners['certificate_scanner'].scan(target_scope)
        for cert in certificates:
            risk_level = self.assess_quantum_risk(cert)
            inventory['certificates'].append({
                'location': cert['location'],
                'algorithm': cert['signature_algorithm'],
                'key_size': cert['key_size'],
                'expiration': cert['expiration'],
                'quantum_risk': risk_level,
                'migration_priority': self.calculate_migration_priority(cert, risk_level)
            })
        
        # Scan code for cryptographic references
        code_refs = self.scanners['code_scanner'].scan(target_scope)
        for ref in code_refs:
            inventory['code_references'].append({
                'file_path': ref['file'],
                'line_number': ref['line'],
                'algorithm': ref['algorithm'],
                'usage_type': ref['usage_type'],
                'quantum_vulnerable': self.is_quantum_vulnerable(ref['algorithm'])
            })
        
        return inventory
    
    def generate_migration_plan(self, inventory):
        """Generate migration plan based on inventory"""
        migration_plan = {
            'high_priority': [],
            'medium_priority': [],
            'low_priority': [],
            'estimated_effort': {},
            'recommended_timeline': {}
        }
        
        # Prioritize based on risk and business impact
        for item in inventory['certificates']:
            if item['quantum_risk'] == 'HIGH':
                migration_plan['high_priority'].append(item)
            elif item['quantum_risk'] == 'MEDIUM':
                migration_plan['medium_priority'].append(item)
            else:
                migration_plan['low_priority'].append(item)
        
        # Calculate effort estimates
        migration_plan['estimated_effort'] = self.calculate_migration_effort(inventory)
        migration_plan['recommended_timeline'] = self.generate_timeline(migration_plan)
        
        return migration_plan

class PostQuantumCompatibilityTester:
    def __init__(self):
        self.test_vectors = PostQuantumTestVectors()
        self.interoperability_tests = InteroperabilityTestSuite()
        self.performance_tests = PerformanceTestSuite()
    
    def test_algorithm_implementation(self, algorithm_name, implementation):
        """Test post-quantum algorithm implementation"""
        test_results = {
            'algorithm': algorithm_name,
            'implementation': implementation.__class__.__name__,
            'correctness_tests': [],
            'security_tests': [],
            'performance_tests': [],
            'interoperability_tests': []
        }
        
        # Correctness tests using known test vectors
        for test_vector in self.test_vectors.get_vectors(algorithm_name):
            result = self.run_correctness_test(implementation, test_vector)
            test_results['correctness_tests'].append(result)
        
        # Security tests
        security_result = self.run_security_tests(implementation)
        test_results['security_tests'] = security_result
        
        # Performance tests
        performance_result = self.performance_tests.benchmark(implementation)
        test_results['performance_tests'] = performance_result
        
        # Interoperability tests
        interop_result = self.interoperability_tests.test(implementation)
        test_results['interoperability_tests'] = interop_result
        
        return test_results
    
    def validate_hybrid_implementation(self, hybrid_system):
        """Validate hybrid classical-quantum implementation"""
        validation_results = {
            'classical_component': self.test_classical_component(hybrid_system.classical),
            'quantum_component': self.test_quantum_component(hybrid_system.quantum),
            'integration': self.test_integration(hybrid_system),
            'security_level': self.assess_hybrid_security(hybrid_system)
        }
        
        return validation_results

class NISTComplianceChecker:
    def __init__(self):
        self.approved_algorithms = {
            'kem': ['CRYSTALS-Kyber'],
            'signature': ['CRYSTALS-Dilithium', 'FALCON', 'SPHINCS+'],
            'hash': ['SHA-3', 'SHAKE']
        }
        self.security_levels = {
            1: "Equivalent to AES-128",
            3: "Equivalent to AES-192", 
            5: "Equivalent to AES-256"
        }
    
    def check_algorithm_compliance(self, algorithm_name, security_level):
        """Check if algorithm meets NIST post-quantum standards"""
        compliance_result = {
            'algorithm': algorithm_name,
            'nist_approved': False,
            'security_level': security_level,
            'compliance_status': 'NON_COMPLIANT',
            'recommendations': []
        }
        
        # Check if algorithm is NIST approved
        for category, algorithms in self.approved_algorithms.items():
            if algorithm_name in algorithms:
                compliance_result['nist_approved'] = True
                compliance_result['category'] = category
                break
        
        if compliance_result['nist_approved']:
            # Check security level requirements
            if security_level >= 1:
                compliance_result['compliance_status'] = 'COMPLIANT'
            else:
                compliance_result['compliance_status'] = 'INSUFFICIENT_SECURITY'
                compliance_result['recommendations'].append(
                    f"Increase security level to at least 1 ({self.security_levels[1]})"
                )
        else:
            compliance_result['recommendations'].append(
                "Use NIST-approved post-quantum algorithm"
            )
        
        return compliance_result
    
    def generate_compliance_report(self, iam_system):
        """Generate comprehensive compliance report"""
        report = {
            'system_name': iam_system.name,
            'assessment_date': datetime.utcnow().isoformat(),
            'algorithms_assessed': [],
            'overall_compliance': 'UNKNOWN',
            'critical_issues': [],
            'recommendations': []
        }
        
        # Assess all algorithms in use
        for algorithm in iam_system.get_algorithms_in_use():
            compliance = self.check_algorithm_compliance(
                algorithm['name'],
                algorithm['security_level']
            )
            report['algorithms_assessed'].append(compliance)
            
            if compliance['compliance_status'] != 'COMPLIANT':
                report['critical_issues'].append(compliance)
        
        # Determine overall compliance
        if not report['critical_issues']:
            report['overall_compliance'] = 'COMPLIANT'
        elif len(report['critical_issues']) < len(report['algorithms_assessed']) / 2:
            report['overall_compliance'] = 'PARTIALLY_COMPLIANT'
        else:
            report['overall_compliance'] = 'NON_COMPLIANT'
        
        return report