import numpy as np
import torch
import torch.nn as nn
from qiskit import QuantumCircuit, Aer, execute
from qiskit.circuit.library import TwoLocal
from hashlib import sha256
import random
from collections import defaultdict
import time
class DataPreprocessor:
def __init__(self, num_qubits):
self.num_qubits = num_qubits
def encode_to_quantum_state(self, data):
"""将经典数据编码为量子态"""
normalized_data = data / np.linalg.norm(data)
qc = QuantumCircuit(self.num_qubits)
for i in range(self.num_qubits):
qc.rx(normalized_data[i], i)
return qc
class QuantumTransformer:
def __init__(self, num_qubits):
self.num_qubits = num_qubits
self.backend = Aer.get_backend('statevector_simulator')
def quantum_self_attention(self, qc):
"""量子自注意力机制"""
for i in range(self.num_qubits - 1):
qc.cx(i, i + 1)
return qc
def quantum_feedforward(self, qc):
"""量子前馈网络"""
for i in range(self.num_qubits):
qc.h(i)
return qc
def measure_and_decode(self, qc):
"""量子测量与解码"""
qc.measure_all()
result = execute(qc, self.backend, shots=1024).result()
counts = result.get_counts(qc)
output = max(counts, key=counts.get)
return int(output, 2) / (2 ** self.num_qubits)
class ReputationMechanism:
def __init__(self, alpha=0.7):
self.alpha = alpha
def update_reputation(self, history_reputation, quantum_output):
"""更新信誉值"""
return self.alpha * history_reputation + (1 - self.alpha) * quantum_output
class IdentityVerification:
def __init__(self):
self.registered_nodes = set()
def register_node(self, node_id, public_key):
"""注册节点"""
node_hash = sha256(public_key.encode()).hexdigest()
if node_hash in self.registered_nodes:
raise ValueError("节点已注册")
self.registered_nodes.add(node_hash)
print(f"节点 {node_id} 注册成功")
def verify_node(self, node_id, public_key):
"""验证节点身份"""
node_hash = sha256(public_key.encode()).hexdigest()
if node_hash not in self.registered_nodes:
raise ValueError("节点未注册或身份无效")
print(f"节点 {node_id} 验证成功")
return True
class EclipseDefense:
def __init__(self, network_size):
self.network_size = network_size
def select_random_neighbors(self, node_id, num_neighbors=5):
"""随机选择邻居节点"""
neighbors = random.sample(range(self.network_size), num_neighbors)
print(f"节点 {node_id} 的随机邻居: {neighbors}")
return neighbors
def multi_path_communication(self, node_id, data):
"""多路径通信"""
neighbors = self.select_random_neighbors(node_id)
for neighbor in neighbors:
print(f"通过邻居 {neighbor} 发送数据: {data}")
class DDoSDefense:
def __init__(self, rate_limit=10):
self.rate_limit = rate_limit
self.request_counts = defaultdict(int)
self.last_reset_time = time.time()
def check_rate_limit(self, node_id):
"""检查速率限制"""
current_time = time.time()
if current_time - self.last_reset_time > 1:
self.request_counts.clear()
self.last_reset_time = current_time
self.request_counts[node_id] += 1
if self.request_counts[node_id] > self.rate_limit:
print(f"节点 {node_id} 触发速率限制,请求被拒绝")
return False
print(f"节点 {node_id} 请求通过")
return True
def filter_by_reputation(self, node_id, reputation):
"""根据信誉值过滤请求"""
if reputation < 0.5:
print(f"节点 {node_id} 信誉值过低,请求被拒绝")
return False
return True
class SecureQuantumTransformerReputation(QuantumTransformerReputation):
def __init__(self, num_qubits, alpha=0.7, network_size=100):
super().__init__(num_qubits, alpha)
self.identity_verification = IdentityVerification()
self.eclipse_defense = EclipseDefense(network_size)
self.ddos_defense = DDoSDefense()
def run_secure(self, node_id, public_key, data, history_reputation):
"""运行安全的信誉算法"""
self.identity_verification.verify_node(node_id, public_key)
if not self.ddos_defense.check_rate_limit(node_id):
return None
if not self.ddos_defense.filter_by_reputation(node_id, history_reputation):
return None
self.eclipse_defense.multi_path_communication(node_id, data)
return self.run(data, history_reputation)
if __name__ == "__main__":
data = np.array([0.5, 0.3, 0.8])
history_reputation = 0.6
node_id = "vehicle_123"
public_key = "public_key_123"
network_size = 100
num_qubits = 3
secure_algorithm = SecureQuantumTransformerReputation(num_qubits, network_size=network_size)
secure_algorithm.identity_verification.register_node(node_id, public_key)
updated_reputation = secure_algorithm.run_secure(node_id, public_key, data, history_reputation)
if updated_reputation is not None:
print(f"更新后的信誉值: {updated_reputation}")