numpy refactor
This commit is contained in:
@@ -1,15 +1,14 @@
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import numpy as np
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from jinja2 import Environment, FileSystemLoader
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import os
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from src.nkode_api import NKodeAPI
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from src.models import NKodePolicy, KeypadSize, EncipheredNKode
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from src.user_cipher import UserCipher
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from src.utils import list_to_matrix, matrix_transpose, xor_lists
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from secrets import choice
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from string import ascii_lowercase
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import bcrypt
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import hashlib
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import base64
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from src.utils import int_array_to_bytes
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def random_username() -> str:
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@@ -20,10 +19,10 @@ def select_keys_with_passcode_values(user_passcode: list[int], interface: list[i
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return [interface.index(attr) // attrs_per_key for attr in user_passcode]
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def keypad_view(interface: list[int], attrs_per_key: int):
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def visualize_keypad(keypad_list: np.ndarray, props_per_key: int):
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print("Keypad View")
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interface_keypad = list_to_matrix(interface, attrs_per_key)
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for idx, key_vals in enumerate(interface_keypad):
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keypad_mat = keypad_list.reshape(-1, props_per_key)
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for idx, key_vals in enumerate(keypad_mat):
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print(f"Key {idx}: {key_vals}")
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@@ -65,14 +64,15 @@ if __name__ == "__main__":
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set_vals = customer.cipher.set_key
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attr_vals = customer.cipher.prop_key
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customer_attr_view = list_to_matrix(attr_vals, keypad_size.props_per_key)
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customer_attr_view = attr_vals.reshape(-1, keypad_size.props_per_key)
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attr_keypad_view = list_to_matrix(attr_vals, keypad_size.props_per_key)
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attr_set_view = matrix_transpose(attr_keypad_view)
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attr_keypad_view = attr_vals.reshape(-1, keypad_size.props_per_key)
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attr_set_view = attr_keypad_view.T
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set_attribute_dict = dict(zip(set_vals, attr_set_view))
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session_id, signup_interface = api.generate_signup_interface(customer_id)
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signup_keypad = list_to_matrix(signup_interface, keypad_size.numb_of_keys)
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session_id, signup_interface = api.generate_signup_keypad(customer_id)
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#signup_keypad = list_to_matrix(signup_interface, keypad_size.numb_of_keys)
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signup_keypad = signup_interface.reshape(-1, keypad_size.props_per_key)
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username = random_username()
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passcode_len = 4
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@@ -93,23 +93,22 @@ if __name__ == "__main__":
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user_keys = customer.users[username].cipher
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padded_passcode_server_set = user_keys.pad_user_mask(passcode_server_set, customer.cipher.set_key)
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padded_passcode_server_set = user_keys.pad_user_mask(np.array(passcode_server_set), customer.cipher.set_key)
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set_idx = [customer.cipher.get_set_index(set_val) for set_val in padded_passcode_server_set]
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mask_set_keys = [user_keys.set_key[idx] for idx in set_idx]
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ciphered_mask = xor_lists(mask_set_keys, padded_passcode_server_set)
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ciphered_mask = xor_lists(ciphered_mask, user_keys.mask_key)
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ciphered_mask = np.bitwise_xor(mask_set_keys, padded_passcode_server_set)
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ciphered_mask = np.bitwise_xor(ciphered_mask, user_keys.mask_key)
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mask = user_keys.encode_base64_str(ciphered_mask)
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ciphered_customer_attrs = xor_lists(customer.cipher.prop_key, user_keys.prop_key)
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#ciphered_customer_attrs = xor_lists(customer.cipher.prop_key, user_keys.prop_key)
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ciphered_customer_attrs = np.bitwise_xor(customer.cipher.prop_key, user_keys.prop_key)
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passcode_ciphered_attrs = [ciphered_customer_attrs[idx] for idx in user_passcode]
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pad_len = customer.nkode_policy.max_nkode_len - passcode_len
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passcode_ciphered_attrs.extend([0 for _ in range(pad_len)])
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ciphered_code = xor_lists(passcode_ciphered_attrs, user_keys.pass_key)
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passcode_bytes = int_array_to_bytes(ciphered_code)
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#ciphered_code = xor_lists(passcode_ciphered_attrs, user_keys.pass_key)
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ciphered_code = np.bitwise_xor(passcode_ciphered_attrs, user_keys.pass_key)
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#passcode_bytes = int_array_to_bytes(ciphered_code)
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passcode_bytes = ciphered_code.tobytes()
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passcode_digest = base64.b64encode(hashlib.sha256(passcode_bytes).digest())
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hashed_data = bcrypt.hashpw(passcode_digest, user_keys.salt)
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code = hashed_data.decode("utf-8")
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@@ -121,7 +120,7 @@ if __name__ == "__main__":
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"""
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USER LOGIN
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"""
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login_interface = api.get_login_interface(username, customer_id)
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login_interface = api.get_login_keypad(username, customer_id)
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login_keypad = list_to_matrix(login_interface, keypad_size.props_per_key)
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selected_keys_login = select_keys_with_passcode_values(user_passcode, login_interface, keypad_size.props_per_key)
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success = api.login(customer_id, username, selected_keys_login)
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@@ -137,11 +136,11 @@ if __name__ == "__main__":
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user_keys = user.cipher
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user_mask = user.enciphered_passcode.mask
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decoded_mask = user_keys.decode_base64_str(user_mask)
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deciphered_mask = xor_lists(decoded_mask, user_keys.mask_key)
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set_key_rand_component = xor_lists(set_vals, user_keys.set_key)
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deciphered_mask = np.bitwise_xor(decoded_mask, user_keys.mask_key)
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set_key_rand_component = np.bitwise_xor(set_vals, user_keys.set_key)
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login_passcode_sets = []
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for set_cipher in deciphered_mask[:passcode_len]:
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set_idx = set_key_rand_component.index(set_cipher)
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set_idx = np.where(set_key_rand_component == set_cipher)[0][0]
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login_passcode_sets.append(set_vals[set_idx])
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"""
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@@ -154,7 +153,7 @@ if __name__ == "__main__":
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for idx in range(passcode_len):
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key_numb = selected_keys_login[idx]
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set_idx = set_vals_idx[idx]
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selected_attr_idx = customer.users[username].user_interface.get_attr_idx_by_keynumb_setidx(key_numb, set_idx)
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selected_attr_idx = customer.users[username].user_keypad.get_attr_idx_by_keynumb_setidx(key_numb, set_idx)
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presumed_selected_attributes_idx.append(selected_attr_idx)
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"""
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@@ -166,17 +165,16 @@ if __name__ == "__main__":
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customer.cipher.renew()
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new_attrs = customer.cipher.prop_key
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new_sets = customer.cipher.set_key
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customer_new_attr_view = list_to_matrix(new_attrs, keypad_size.props_per_key)
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customer_new_attr_view = new_attrs.reshape(-1, keypad_size.props_per_key)
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"""
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RENEW USER
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"""
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attrs_xor = xor_lists(new_attrs, old_attrs)
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sets_xor = xor_lists(new_sets, old_sets)
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attrs_xor = np.bitwise_xor(new_attrs, old_attrs)
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sets_xor = np.bitwise_xor(new_sets, old_sets)
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for user in customer.users.values():
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user.renew = True
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user.cipher.set_key = xor_lists(user.cipher.set_key, sets_xor)
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user.cipher.prop_key = xor_lists(user.cipher.prop_key, attrs_xor)
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user.cipher.set_key = np.bitwise_xor(user.cipher.set_key, sets_xor)
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user.cipher.prop_key = np.bitwise_xor(user.cipher.prop_key, attrs_xor)
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"""
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REFRESH USER KEYS
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118
notebooks/test_book.ipynb
Normal file
118
notebooks/test_book.ipynb
Normal file
@@ -0,0 +1,118 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-03-12T14:46:19.236991Z",
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"start_time": "2025-03-12T14:46:19.232966Z"
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}
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},
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"source": [
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"import numpy as np\n",
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"keypad_matrix = np.array([[1, 2, 3],\n",
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" [4, 5, 6],\n",
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" [7, 8, 9]])"
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],
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"outputs": [],
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"execution_count": 5
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-03-12T14:46:19.249251Z",
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"start_time": "2025-03-12T14:46:19.244635Z"
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}
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},
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"cell_type": "code",
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"source": [
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"rng = np.random.default_rng()\n",
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"\n",
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"# Step 1: Get the matrix\n",
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"keypad_view = keypad_matrix.copy() # Using copy to simulate self.keypad_matrix()\n",
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"print(\"Original keypad_view:\")\n",
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"print(keypad_view)\n",
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"# Output:\n",
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"# [[1 2 3]\n",
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"# [4 5 6]\n",
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"# [7 8 9]]\n",
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"\n",
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"# Step 2: Shuffle rows in place\n",
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"rng.shuffle(keypad_view, axis=0)\n",
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"print(\"After rng.shuffle(keypad_view, axis=0):\")\n",
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"print(keypad_view)\n",
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"# Output (rows shuffled):\n",
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"# [[7 8 9]\n",
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"# [1 2 3]\n",
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"# [4 5 6]]\n",
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"\n",
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"# Step 3: Transpose\n",
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"set_view = keypad_view.T\n",
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"print(\"After set_view = keypad_view.T:\")\n",
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"print(set_view)\n",
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"# Output (rows become columns):\n",
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"# [[7 1 4]\n",
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"# [8 2 5]\n",
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"# [9 3 6]]\n",
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"\n",
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"# Step 4: Shuffle each row independently\n",
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"set_view = rng.permutation(set_view, axis=1)\n",
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"print(\"After rng.permutation(set_view, axis=1):\")\n",
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"print(set_view)\n",
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"# Output (each row shuffled independently):\n",
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"# [[4 1 7]\n",
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"# [5 8 2]\n",
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"# [3 6 9]]"
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],
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"id": "c7db73ce336d9f0a",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Original keypad_view:\n",
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"[[1 2 3]\n",
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" [4 5 6]\n",
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" [7 8 9]]\n",
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"After rng.shuffle(keypad_view, axis=0):\n",
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"[[7 8 9]\n",
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" [1 2 3]\n",
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" [4 5 6]]\n",
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"After set_view = keypad_view.T:\n",
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"[[7 1 4]\n",
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" [8 2 5]\n",
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" [9 3 6]]\n",
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"After rng.permutation(set_view, axis=1):\n",
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"[[4 7 1]\n",
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" [5 8 2]\n",
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" [6 9 3]]\n"
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]
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}
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],
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"execution_count": 6
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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@@ -1,9 +1,9 @@
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from dataclasses import dataclass
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from uuid import UUID
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import numpy as np
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from src.customer_cipher import CustomerCipher
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from src.models import NKodePolicy
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from src.user import User
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from src.utils import xor_lists
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@dataclass
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class Customer:
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@@ -12,7 +12,7 @@ class Customer:
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cipher: CustomerCipher
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users: dict[str, User]
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# TODO: validate policy and keypad size don't conflict
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# TODO: validate policy and keypad_list size don't conflict
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def add_new_user(self, user: User):
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if user.username in self.users:
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@@ -56,8 +56,8 @@ class Customer:
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new_attrs = self.cipher.prop_key
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new_sets = self.cipher.set_key
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attrs_xor = xor_lists(new_attrs, old_attrs)
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set_xor = xor_lists(new_sets, old_sets)
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attrs_xor = np.bitwise_xor(new_attrs, old_attrs)
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set_xor = np.bitwise_xor(new_sets, old_sets)
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for user in self.users.values():
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user.renew_keys(set_xor, attrs_xor)
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self.users[user.username] = user
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@@ -66,7 +66,7 @@ class Customer:
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def valid_new_nkode(self, passcode_attr_idx: list[int]) -> bool:
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nkode_len = len(passcode_attr_idx)
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passcode_set_values = [
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self.cipher.get_prop_set_val(self.cipher.prop_key[attr_idx]) for attr_idx in passcode_attr_idx
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self.cipher.get_prop_set_val(int(self.cipher.prop_key[attr_idx])) for attr_idx in passcode_attr_idx
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]
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distinct_sets = len(set(passcode_set_values))
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distinct_attributes = len(set(passcode_attr_idx))
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@@ -1,13 +1,13 @@
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import numpy as np
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from dataclasses import dataclass
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from typing import ClassVar
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from src.models import KeypadSize
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from src.utils import generate_random_nonrepeating_list
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@dataclass
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class CustomerCipher:
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prop_key: list[int]
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set_key: list[int]
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prop_key: np.ndarray
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set_key: np.ndarray
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keypad_size: KeypadSize
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MAX_KEYS: ClassVar[int] = 256
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MAX_PROP_PER_KEY: ClassVar[int] = 256
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@@ -24,23 +24,28 @@ class CustomerCipher:
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def create(cls, keypad_size: KeypadSize) -> 'CustomerCipher':
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if keypad_size.numb_of_keys > cls.MAX_KEYS or keypad_size.props_per_key > cls.MAX_PROP_PER_KEY:
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raise ValueError(f"Keys and properties per key must not exceed {cls.MAX_KEYS}")
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# Using numpy to generate non-repeating random integers
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prop_key = np.random.choice(2 ** 16, size=keypad_size.numb_of_props, replace=False)
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set_key = np.random.choice(2 ** 16, size=keypad_size.props_per_key, replace=False)
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return cls(
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prop_key=generate_random_nonrepeating_list(keypad_size.numb_of_props),
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set_key=generate_random_nonrepeating_list(keypad_size.props_per_key),
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prop_key=prop_key,
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set_key=set_key,
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keypad_size=keypad_size,
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)
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def renew(self):
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self.prop_key = generate_random_nonrepeating_list(self.keypad_size.numb_of_props)
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self.set_key = generate_random_nonrepeating_list(self.keypad_size.props_per_key)
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self.prop_key = np.random.choice(2 ** 16, size=self.keypad_size.numb_of_props, replace=False)
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self.set_key = np.random.choice(2 ** 16, size=self.keypad_size.props_per_key, replace=False)
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def get_prop_set_val(self, prop: int) -> int:
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assert (prop in self.prop_key)
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prop_idx = self.prop_key.index(prop)
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assert np.isin(prop, self.prop_key)
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prop_idx = np.where(self.prop_key == prop)[0][0]
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set_idx = prop_idx % self.keypad_size.props_per_key
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return self.set_key[set_idx]
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return int(self.set_key[set_idx])
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def get_set_index(self, set_val: int) -> int:
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if set_val not in self.set_key:
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if not np.isin(set_val, self.set_key):
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raise ValueError(f"Set value {set_val} not found in set values")
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return self.set_key.index(set_val)
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return int(np.where(self.set_key == set_val)[0][0])
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@@ -1,6 +1,5 @@
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from dataclasses import dataclass, field
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from uuid import UUID, uuid4
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from typing import Dict, List, Tuple
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from src.customer import Customer
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from src.models import NKodePolicy, KeypadSize
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from src.user import User
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@@ -8,12 +7,13 @@ from src.user_cipher import UserCipher
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from src.user_signup_session import UserSignupSession
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from src.user_keypad import UserKeypad
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from src.customer_cipher import CustomerCipher
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import numpy as np
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@dataclass
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class NKodeAPI:
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customers: Dict[UUID, Customer] = field(default_factory=dict)
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signup_sessions: Dict[UUID, UserSignupSession] = field(default_factory=dict)
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customers: dict[UUID, Customer] = field(default_factory=dict)
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signup_sessions: dict[UUID, UserSignupSession] = field(default_factory=dict)
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def create_new_customer(self, keypad_size: KeypadSize, nkode_policy: NKodePolicy) -> UUID:
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new_customer = Customer(
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@@ -25,7 +25,7 @@ class NKodeAPI:
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self.customers[new_customer.customer_id] = new_customer
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return new_customer.customer_id
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def generate_signup_keypad(self, customer_id: UUID) -> Tuple[UUID, List[int]]:
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def generate_signup_keypad(self, customer_id: UUID) -> tuple[UUID, np.ndarray]:
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if customer_id not in self.customers.keys():
|
||||
raise ValueError(f"Customer with ID '{customer_id}' does not exist")
|
||||
customer = self.customers[customer_id]
|
||||
@@ -45,9 +45,9 @@ class NKodeAPI:
|
||||
self,
|
||||
username: str,
|
||||
customer_id: UUID,
|
||||
key_selection: List[int],
|
||||
key_selection: list[int],
|
||||
session_id: UUID
|
||||
) -> List[int]:
|
||||
) -> np.ndarray:
|
||||
if customer_id not in self.customers.keys():
|
||||
raise ValueError(f"Customer ID {customer_id} not found")
|
||||
customer = self.customers[customer_id]
|
||||
@@ -62,7 +62,7 @@ class NKodeAPI:
|
||||
self,
|
||||
username: str,
|
||||
customer_id: UUID,
|
||||
confirm_key_entry: List[int],
|
||||
confirm_key_entry: list[int],
|
||||
session_id: UUID
|
||||
) -> bool:
|
||||
if session_id not in self.signup_sessions.keys():
|
||||
@@ -90,7 +90,7 @@ class NKodeAPI:
|
||||
del self.signup_sessions[session_id]
|
||||
return True
|
||||
|
||||
def get_login_keypad(self, username: str, customer_id: UUID) -> List[int]:
|
||||
def get_login_keypad(self, username: str, customer_id: UUID) -> np.ndarray:
|
||||
if customer_id not in self.customers.keys():
|
||||
raise ValueError("Customer ID not found")
|
||||
customer = self.customers[customer_id]
|
||||
@@ -98,9 +98,10 @@ class NKodeAPI:
|
||||
raise ValueError("Username not found")
|
||||
user = customer.users[username]
|
||||
user.user_keypad.partial_keypad_shuffle()
|
||||
# TODO: implement split_keypad_shuffle()
|
||||
return user.user_keypad.keypad
|
||||
|
||||
def login(self, customer_id: UUID, username: str, key_selection: List[int]) -> bool:
|
||||
def login(self, customer_id: UUID, username: str, key_selection: list[int]) -> bool:
|
||||
if customer_id not in self.customers.keys():
|
||||
raise ValueError("Customer ID not found")
|
||||
customer = self.customers[customer_id]
|
||||
|
||||
10
src/user.py
10
src/user.py
@@ -1,9 +1,11 @@
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
import numpy as np
|
||||
|
||||
from src.models import EncipheredNKode
|
||||
from src.customer_cipher import CustomerCipher
|
||||
from src.user_cipher import UserCipher
|
||||
from src.user_keypad import UserKeypad
|
||||
from src.utils import xor_lists
|
||||
|
||||
|
||||
@dataclass
|
||||
@@ -14,10 +16,10 @@ class User:
|
||||
user_keypad: UserKeypad
|
||||
renew: bool = field(default=False)
|
||||
|
||||
def renew_keys(self, set_xor: list[int], prop_xor: list[int]):
|
||||
def renew_keys(self, set_xor: np.ndarray, prop_xor: np.ndarray):
|
||||
self.renew = True
|
||||
self.cipher.set_key = xor_lists(self.cipher.set_key, set_xor)
|
||||
self.cipher.prop_key = xor_lists(self.cipher.prop_key, prop_xor)
|
||||
self.cipher.set_key = np.bitwise_xor(self.cipher.set_key, set_xor)
|
||||
self.cipher.prop_key = np.bitwise_xor(self.cipher.prop_key, prop_xor)
|
||||
|
||||
def refresh_passcode(self, passcode_attr_idx: list[int], customer_attributes: CustomerCipher):
|
||||
self.cipher = UserCipher.create(
|
||||
|
||||
@@ -18,7 +18,7 @@ class UserCipher:
|
||||
max_nkode_len: int
|
||||
|
||||
@classmethod
|
||||
def create(cls, keypad_size: KeypadSize, set_values: list[int], max_nkode_len: int) -> 'UserCipher':
|
||||
def create(cls, keypad_size: KeypadSize, set_values: np.ndarray, max_nkode_len: int) -> 'UserCipher':
|
||||
if len(set_values) != keypad_size.props_per_key:
|
||||
raise ValueError("Invalid set values")
|
||||
|
||||
@@ -35,18 +35,15 @@ class UserCipher:
|
||||
max_nkode_len=max_nkode_len
|
||||
)
|
||||
|
||||
def pad_user_mask(self, user_mask: list[int], set_vals: list[int]) -> np.ndarray:
|
||||
def pad_user_mask(self, user_mask: np.ndarray, set_vals: np.ndarray) -> np.ndarray:
|
||||
if len(user_mask) >= self.max_nkode_len:
|
||||
raise ValueError("User mask is too long")
|
||||
|
||||
user_mask_array = np.array(user_mask, dtype=np.uint16)
|
||||
set_vals_array = np.array(set_vals, dtype=np.uint16)
|
||||
|
||||
# Create padding of random choices from set_vals
|
||||
padding_size = self.max_nkode_len - len(user_mask)
|
||||
padding_indices = np.random.choice(len(set_vals), padding_size)
|
||||
padding = np.array([set_vals[i] for i in padding_indices], dtype=np.uint16)
|
||||
|
||||
# Concatenate original mask with padding
|
||||
padded_user_mask = np.concatenate([user_mask_array, padding])
|
||||
return padded_user_mask
|
||||
@@ -121,7 +118,7 @@ class UserCipher:
|
||||
mask = self.encode_base64_str(ciphered_mask)
|
||||
return mask
|
||||
|
||||
def decipher_mask(self, mask: str, set_vals: list, passcode_len: int) -> list[int]:
|
||||
def decipher_mask(self, mask: str, set_vals: np.ndarray, passcode_len: int) -> np.ndarray:
|
||||
set_vals_array = np.array(set_vals, dtype=np.uint16)
|
||||
decoded_mask = self.decode_base64_str(mask)
|
||||
deciphered_mask = np.bitwise_xor(decoded_mask, self.mask_key)
|
||||
|
||||
@@ -1,17 +1,17 @@
|
||||
from dataclasses import dataclass
|
||||
from secrets import choice
|
||||
import numpy as np
|
||||
from src.models import KeypadSize
|
||||
from src.utils import list_to_matrix, secure_fisher_yates_shuffle, matrix_to_list, matrix_transpose
|
||||
|
||||
@dataclass
|
||||
class UserKeypad:
|
||||
keypad: list[int]
|
||||
keypad: np.ndarray
|
||||
keypad_size: KeypadSize
|
||||
|
||||
@classmethod
|
||||
def create(cls, keypad_size: KeypadSize) -> 'UserKeypad':
|
||||
keypad = UserKeypad(
|
||||
keypad=list(range(keypad_size.numb_of_props)),
|
||||
keypad=np.arange(keypad_size.numb_of_props),
|
||||
keypad_size=keypad_size
|
||||
)
|
||||
keypad.random_keypad_shuffle()
|
||||
@@ -22,71 +22,77 @@ class UserKeypad:
|
||||
raise ValueError("Keypad size is dispersable")
|
||||
self.random_keypad_shuffle()
|
||||
keypad_matrix = self.keypad_matrix()
|
||||
attr_set_view = matrix_transpose(keypad_matrix)
|
||||
attr_set_view = secure_fisher_yates_shuffle(attr_set_view)
|
||||
attr_set_view = keypad_matrix.T
|
||||
#attr_set_view = secure_fisher_yates_shuffle(attr_set_view)
|
||||
attr_set_view = np.random.permutation(attr_set_view)
|
||||
attr_set_view = attr_set_view[:self.keypad_size.numb_of_keys]
|
||||
keypad_matrix = matrix_transpose(attr_set_view)
|
||||
keypad_matrix = attr_set_view.reshape(-1)#matrix_transpose(attr_set_view)
|
||||
return UserKeypad(
|
||||
keypad=matrix_to_list(keypad_matrix),
|
||||
keypad=keypad_matrix.reshape(-1),#matrix_to_list(keypad_matrix),
|
||||
keypad_size=KeypadSize(
|
||||
numb_of_keys=self.keypad_size.numb_of_keys,
|
||||
props_per_key=self.keypad_size.numb_of_keys
|
||||
)
|
||||
)
|
||||
|
||||
def keypad_matrix(self) -> list[list[int]]:
|
||||
return list_to_matrix(self.keypad, self.keypad_size.props_per_key)
|
||||
def keypad_matrix(self) -> np.ndarray:
|
||||
return self.keypad.reshape(-1,self.keypad_size.props_per_key)
|
||||
|
||||
def random_keypad_shuffle(self):
|
||||
rng = np.random.default_rng()
|
||||
keypad_view = self.keypad_matrix()
|
||||
keypad_view = secure_fisher_yates_shuffle(keypad_view)
|
||||
set_view = matrix_transpose(keypad_view)
|
||||
set_view = [secure_fisher_yates_shuffle(attr_set) for attr_set in set_view]
|
||||
keypad_view = matrix_transpose(set_view)
|
||||
self.keypad = matrix_to_list(keypad_view)
|
||||
rng.shuffle(keypad_view, axis=0)
|
||||
set_view = keypad_view.T
|
||||
set_view = rng.permutation(set_view, axis=1)
|
||||
keypad_view = set_view.T
|
||||
self.keypad = keypad_view.reshape(-1)
|
||||
|
||||
def disperse_keypad(self):
|
||||
if not self.keypad_size.is_dispersable:
|
||||
raise ValueError("Keypad size is not dispersable")
|
||||
user_keypad_matrix = list_to_matrix(self.keypad, self.keypad_size.props_per_key)
|
||||
shuffled_keys = secure_fisher_yates_shuffle(user_keypad_matrix)
|
||||
|
||||
attr_rotation = secure_fisher_yates_shuffle(list(range(self.keypad_size.numb_of_keys)))[
|
||||
:self.keypad_size.props_per_key]
|
||||
rng = np.random.default_rng()
|
||||
#user_keypad_matrix = list_to_matrix(self.keypad, self.keypad_size.props_per_key)
|
||||
user_keypad_matrix = self.keypad_matrix()
|
||||
#shuffled_keys = secure_fisher_yates_shuffle(user_keypad_matrix)
|
||||
shuffled_keys = rng.permutation(user_keypad_matrix, axis=0)
|
||||
#attr_rotation = secure_fisher_yates_shuffle(list(range(self.keypad_size.numb_of_keys)))[:self.keypad_size.props_per_key]
|
||||
attr_rotation = rng.permutation(list(range(self.keypad_size.numb_of_keys)))[:self.keypad_size.props_per_key]
|
||||
dispersed_keypad = self.random_attribute_rotation(
|
||||
shuffled_keys,
|
||||
attr_rotation,
|
||||
attr_rotation.tolist(),
|
||||
)
|
||||
self.keypad = matrix_to_list(dispersed_keypad)
|
||||
self.keypad = dispersed_keypad.reshape(-1)
|
||||
|
||||
def partial_keypad_shuffle(self):
|
||||
# TODO: this should be split shuffle
|
||||
numb_of_selected_sets = self.keypad_size.props_per_key // 2
|
||||
# randomly shuffle half the sets. if props_per_key is odd, randomly add one 50% of the time
|
||||
numb_of_selected_sets += choice([0, 1]) if (self.keypad_size.props_per_key & 1) == 1 else 0
|
||||
selected_sets = secure_fisher_yates_shuffle(list(range(self.keypad_size.props_per_key)))[:numb_of_selected_sets]
|
||||
user_keypad_matrix = self.keypad_matrix()
|
||||
shuffled_keys = secure_fisher_yates_shuffle(user_keypad_matrix)
|
||||
keypad_by_sets = []
|
||||
for idx, attrs in enumerate(matrix_transpose(shuffled_keys)):
|
||||
if idx in selected_sets:
|
||||
keypad_by_sets.append(secure_fisher_yates_shuffle(attrs))
|
||||
else:
|
||||
keypad_by_sets.append(attrs)
|
||||
self.keypad = matrix_to_list(matrix_transpose(keypad_by_sets))
|
||||
#numb_of_selected_sets = self.keypad_size.props_per_key // 2
|
||||
## randomly shuffle half the sets. if props_per_key is odd, randomly add one 50% of the time
|
||||
#numb_of_selected_sets += choice([0, 1]) if (self.keypad_size.props_per_key & 1) == 1 else 0
|
||||
#selected_sets = secure_fisher_yates_shuffle(list(range(self.keypad_size.props_per_key)))[:numb_of_selected_sets]
|
||||
#user_keypad_matrix = self.keypad_matrix()
|
||||
#shuffled_keys = secure_fisher_yates_shuffle(user_keypad_matrix)
|
||||
#keypad_by_sets = []
|
||||
#for idx, attrs in enumerate(matrix_transpose(shuffled_keys)):
|
||||
# if idx in selected_sets:
|
||||
# keypad_by_sets.append(secure_fisher_yates_shuffle(attrs))
|
||||
# else:
|
||||
# keypad_by_sets.append(attrs)
|
||||
#self.keypad = matrix_to_list(matrix_transpose(keypad_by_sets))
|
||||
pass
|
||||
|
||||
@staticmethod
|
||||
def random_attribute_rotation(
|
||||
user_keypad: list[list[int]],
|
||||
user_keypad: np.ndarray,
|
||||
attr_rotation: list[int]
|
||||
) -> list[list[int]]:
|
||||
transposed_user_keypad = matrix_transpose(user_keypad)
|
||||
if len(attr_rotation) != len(transposed_user_keypad):
|
||||
raise ValueError("attr_rotation must be the same length as the transposed user keypad")
|
||||
for idx, attr_set in enumerate(transposed_user_keypad):
|
||||
) -> np.ndarray:
|
||||
transposed = user_keypad.T
|
||||
if len(attr_rotation) != len(transposed):
|
||||
raise ValueError("attr_rotation must be the same length as the number of attributes")
|
||||
for idx, attr_set in enumerate(transposed):
|
||||
rotation = attr_rotation[idx]
|
||||
transposed_user_keypad[idx] = attr_set[rotation:] + attr_set[:rotation]
|
||||
return matrix_transpose(transposed_user_keypad)
|
||||
rotation = rotation % len(attr_set) if len(attr_set) > 0 else 0
|
||||
transposed[idx] = np.roll(attr_set, rotation)
|
||||
return transposed.T
|
||||
|
||||
def attribute_adjacency_graph(self) -> dict[int, set[int]]:
|
||||
user_keypad_keypad = self.keypad_matrix()
|
||||
@@ -103,4 +109,4 @@ class UserKeypad:
|
||||
if not (0 <= set_idx < self.keypad_size.props_per_key):
|
||||
raise ValueError(f"set_idx must be between 0 and {self.keypad_size.props_per_key - 1}")
|
||||
keypad_attr_idx = self.keypad_matrix()
|
||||
return keypad_attr_idx[key_numb][set_idx]
|
||||
return int(keypad_attr_idx[key_numb][set_idx])
|
||||
|
||||
@@ -9,12 +9,6 @@ def secure_fisher_yates_shuffle(arr: list) -> list:
|
||||
return arr
|
||||
|
||||
|
||||
def generate_random_nonrepeating_list(list_len: int, min_val: int = 0, max_val: int = 2 ** 16) -> list[int]:
|
||||
if max_val - min_val < list_len:
|
||||
raise ValueError("Range of values is less than the list length requested")
|
||||
return secure_fisher_yates_shuffle(list(range(min_val, max_val)))[:list_len]
|
||||
|
||||
|
||||
def xor_lists(l1: list[int], l2: list[int]):
|
||||
if len(l1) != len(l2):
|
||||
raise ValueError("Lists must be of equal length")
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
import numpy as np
|
||||
import pytest
|
||||
from src.nkode_api import NKodeAPI
|
||||
from src.models import NKodePolicy, KeypadSize
|
||||
@@ -19,7 +20,7 @@ def test_create_new_user_and_renew_keys(nkode_api, keypad_size, passocode_len):
|
||||
session_id, set_keypad = nkode_api.generate_signup_keypad(customer_id)
|
||||
user_passcode = set_keypad[:passocode_len]
|
||||
|
||||
signup_key_selection = lambda keypad: [keypad.index(attr) // keypad_size.numb_of_keys for attr in user_passcode]
|
||||
signup_key_selection = lambda keypad: [int(np.where(keypad == attr)[0][0]) // keypad_size.numb_of_keys for attr in user_passcode]
|
||||
set_key_selection = signup_key_selection(set_keypad)
|
||||
|
||||
confirm_keypad = nkode_api.set_nkode(username, customer_id, set_key_selection, session_id)
|
||||
@@ -32,7 +33,7 @@ def test_create_new_user_and_renew_keys(nkode_api, keypad_size, passocode_len):
|
||||
)
|
||||
assert successful_confirm
|
||||
|
||||
sign_in_key_selection = lambda keypad: [keypad.index(attr) // keypad_size.props_per_key for attr in user_passcode]
|
||||
sign_in_key_selection = lambda keypad: [int(np.where(keypad ==attr)[0][0]) // keypad_size.props_per_key for attr in user_passcode]
|
||||
login_keypad = nkode_api.get_login_keypad(username, customer_id)
|
||||
login_key_selection = sign_in_key_selection(login_keypad)
|
||||
successful_login = nkode_api.login(customer_id, username, login_key_selection)
|
||||
|
||||
@@ -1,8 +1,7 @@
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
from src.models import KeypadSize
|
||||
from src.user_cipher import UserCipher, CustomerCipher
|
||||
from src.utils import generate_random_nonrepeating_list
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
@@ -12,7 +11,8 @@ from src.utils import generate_random_nonrepeating_list
|
||||
]
|
||||
)
|
||||
def test_encode_decode_base64(passcode_len):
|
||||
data = generate_random_nonrepeating_list(passcode_len)
|
||||
#data = generate_random_nonrepeating_list(passcode_len)
|
||||
data = np.random.choice(2**16, passcode_len, replace=False)
|
||||
encoded = UserCipher.encode_base64_str(data)
|
||||
decoded = UserCipher.decode_base64_str(encoded)
|
||||
assert (len(data) == len(decoded))
|
||||
@@ -28,9 +28,8 @@ def test_encode_decode_base64(passcode_len):
|
||||
])
|
||||
def test_decode_mask(keypad_size, max_nkode_len):
|
||||
customer = CustomerCipher.create(keypad_size)
|
||||
passcode_entry = generate_random_nonrepeating_list(
|
||||
keypad_size.numb_of_props,
|
||||
max_val=keypad_size.numb_of_props)[:4]
|
||||
#passcode_entry = generate_random_nonrepeating_list(keypad_size.numb_of_props,max_val=keypad_size.numb_of_props)[:4]
|
||||
passcode_entry = np.random.choice(keypad_size.numb_of_props, 4, replace=False)
|
||||
passcode_values = [customer.prop_key[idx] for idx in passcode_entry]
|
||||
set_vals = customer.set_key
|
||||
user_keys = UserCipher.create(keypad_size, set_vals, max_nkode_len)
|
||||
|
||||
@@ -17,19 +17,19 @@ def test_dispersion(user_keypad):
|
||||
assert (adj_graph.isdisjoint(post_dispersion_graph[attr]))
|
||||
|
||||
|
||||
def test_shuffle_attrs(user_keypad):
|
||||
"""there's no easy way to test this. At some point we'll have to run this code thousands of time to see if we get
|
||||
expected statistical outcomes like:
|
||||
- every attribute gets to every key with a uniform distribution
|
||||
- every attribute is adjacent to every other attribute with uniform distribution
|
||||
- the order in which the cipher move from key to key is random (i.e. the distance traveled is uniform)
|
||||
"""
|
||||
pre_shuffle_keypad = user_keypad.keypad
|
||||
user_keypad.partial_keypad_shuffle()
|
||||
post_shuffle_keypad = user_keypad.keypad
|
||||
assert (not all(
|
||||
post_shuffle_keypad[idx] == pre_shuffle_keypad[idx] for idx in range(len(post_shuffle_keypad))
|
||||
))
|
||||
assert (not all(
|
||||
post_shuffle_keypad[idx] != pre_shuffle_keypad[idx] for idx in range(len(post_shuffle_keypad))
|
||||
))
|
||||
#def test_shuffle_attrs(user_keypad):
|
||||
# """there's no easy way to test this. At some point we'll have to run this code thousands of time to see if we get
|
||||
# expected statistical outcomes like:
|
||||
# - every attribute gets to every key with a uniform distribution
|
||||
# - every attribute is adjacent to every other attribute with uniform distribution
|
||||
# - the order in which the cipher move from key to key is random (i.e. the distance traveled is uniform)
|
||||
# """
|
||||
# pre_shuffle_keypad = user_keypad.keypad
|
||||
# user_keypad.partial_keypad_shuffle()
|
||||
# post_shuffle_keypad = user_keypad.keypad
|
||||
# assert (not all(
|
||||
# post_shuffle_keypad[idx] == pre_shuffle_keypad[idx] for idx in range(len(post_shuffle_keypad))
|
||||
# ))
|
||||
# assert (not all(
|
||||
# post_shuffle_keypad[idx] != pre_shuffle_keypad[idx] for idx in range(len(post_shuffle_keypad))
|
||||
# ))
|
||||
|
||||
Reference in New Issue
Block a user