一站式网上办事大厅

import ssl

import socket

context = ssl.create_default_context(ssl.Purpose.CLIENT_AUTH)

context.load_cert_chain(certfile="server.crt", keyfile="server.key")

with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:

s.bind(('localhost', 8443))

s.listen()

conn, addr = s.accept()

with context.wrap_socket(conn, server_side=True) as secure_conn:

print('Secure connection established.')

data = secure_conn.recv(1024).decode()

print(f"Received: {data}")

from oauthlib.oauth2 import BackendApplicationClient

from requests_oauthlib import OAuth2Session

client_id = 'your_client_id'

client_secret = 'your_client_secret'

client = BackendApplicationClient(client_id=client_id)

oauth = OAuth2Session(client=client)

token = oauth.fetch_token(token_url='https://example.com/oauth/token',

client_id=client_id,

client_secret=client_secret)

print("Token:", token)

def detect_anomalies(data):

# Load trained ML model

融合服务门户

model = load_model('anomaly_detection_model.pkl')

# Predict anomalies

predictions = model.predict(data)

if predictions == 1:

send_alert()

return "Anomaly detected!"

else:

return "No anomaly."