一站式网上办事大厅

import pandas as pd

def data_masking(df, columns):

for col in columns:

df[col] = df[col].apply(lambda x: '*' * len(str(x)))

return df

# 示例

data = {'name': ['Alice', 'Bob'], 'id': [12345, 67890]}

df = pd.DataFrame(data)

masked_df = data_masking(df, ['name', 'id'])

print(masked_df)

from Crypto.Cipher import AES

cipher = AES.new('This is my key42'.encode(), AES.MODE_EAX)

ciphertext, tag = cipher.encrypt_and_digest(model_parameters)

# 解密时

cipher_dec = AES.new('This is my key42'.encode(), AES.MODE_EAX, nonce=cipher.nonce)

decrypted_data = cipher_dec.decrypt_and_verify(ciphertext, tag)

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