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Use a generator to process logs one at a time, which is more memory-efficient for large volumes of logs. 4. **Store Encrypted Logs Securely:** Store the encrypted logs in a secure location, and consider using a secure file format like GPG for additional security. ### Example Implementation Here's an example implementation using the `cryptography` library for AES encryption and `hashlib` for data integrity verification: #### Step 1: Install Required Libraries First, install the required libraries: ```sh pip install cryptography ``` #### Step 2: Implement the Encryption and Integrity Verification ```python import hashlib from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC from cryptography.hazmat.primitives import hashes from cryptography.hazmat.backends import default_backend import base64 import os # Define a function to generate a secure key def generate_key(password, salt): kdf = PBKDF2HMAC( algorithm=hashes.SHA256(), length=32, salt=salt, iterations=100000, backend=default_backend() )