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security.py
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security.py
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##pip install face_recognition opencv-python Flask pycryptodome
--
import face_recognition
import cv2
import os
from flask import Flask, request, jsonify
from Crypto.Cipher import AES
from Crypto.Random import get_random_bytes
import base64
import hashlib
app = Flask(__name__)
# Load known face encodings
known_face_encodings = []
known_face_names = []
def load_known_faces():
for file_name in os.listdir('known_faces'):
image = face_recognition.load_image_file(f'known_faces/{file_name}')
face_encoding = face_recognition.face_encodings(image)[0]
known_face_encodings.append(face_encoding)
known_face_names.append(os.path.splitext(file_name)[0])
load_known_faces()
# Encryption setup
def encrypt_data(data, key):
cipher = AES.new(key, AES.MODE_EAX)
nonce = cipher.nonce
ciphertext, tag = cipher.encrypt_and_digest(data)
return base64.b64encode(nonce + ciphertext).decode('utf-8')
def decrypt_data(encrypted_data, key):
encrypted_data = base64.b64decode(encrypted_data)
nonce = encrypted_data[:16]
ciphertext = encrypted_data[16:]
cipher = AES.new(key, AES.MODE_EAX, nonce=nonce)
data = cipher.decrypt(ciphertext)
return data.decode('utf-8')
key = hashlib.sha256(b'secret_key').digest()
# Flask route for biometric authentication
@app.route('/authenticate', methods=['POST'])
def authenticate():
file = request.files['file']
image = face_recognition.load_image_file(file)
face_encodings = face_recognition.face_encodings(image)
if len(face_encodings) == 0:
return jsonify({'error': 'No face detected'}), 400
face_encoding = face_encodings[0]
matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
if True in matches:
first_match_index = matches.index(True)
name = known_face_names[first_match_index]
encrypted_name = encrypt_data(name.encode(), key)
return jsonify({'status': 'success', 'user': encrypted_name}), 200
else:
return jsonify({'status': 'failure', 'error': 'Authentication failed'}), 401
if __name__ == '__main__':
app.run(debug=True)
#enjoy hyperspace 🖤