adds diffie hellman

Author: anishLearnsToCode

diffie-hellman/discrete-log-brute-force.py

@@ -6,7 +6,7 @@
 b = 7
 m = 9
 
-# table = pandas.DataFrame(discrete_log_table(7))
-# print(table)
+table = pandas.DataFrame(discrete_log_table(7))
+print(table)
 
-print(discrete_log(9, 2, 11))
+# print(discrete_log(9, 2, 11))

notebooks/3-symmetric-key-ciphers.ipynb

@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -100,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -110,7 +110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -357,7 +357,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -426,14 +426,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "ECGQBX\n"
+      "NTUBQGBPIZCFOPVEVIVNST\n"
      ]
     }
    ],
@@ -446,25 +446,25 @@
     "     ['z', 'y', 'w', 't', 'p']]\n",
     ")\n",
     "\n",
-    "ciphertext = playfair_cipher.encrypt('hello')\n",
+    "ciphertext = playfair_cipher.encrypt('iwillattacktomorrow')\n",
     "print(ciphertext)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "helmlo\n"
+      "iwilmlatutacktomorsrow\n"
      ]
     }
    ],
    "source": [
-    "plaintext = playfair_cipher.decrypt('ECGQBX')\n",
+    "plaintext = playfair_cipher.decrypt('NTUBQGBPIZCFOPVEVIVNST')\n",
     "print(plaintext)"
    ]
   },
@@ -478,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -506,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -525,7 +525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1198,7 +1198,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.7.9"
   }
  },
  "nbformat": 4,

notebooks/4-mathematics-cryptography-algebraic-structures.ipynb

@@ -374,7 +374,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.7.9"
   }
  },
  "nbformat": 4,

requirements.txt

@@ -1,2 +1,4 @@
 numpy
 pandas
+matplotlib
+opencv-python

rsa/rsa_sample.py

@@ -2,22 +2,23 @@
 import random
 
 
-p, q = 5, 11
+p, q = 7, 11
 n = p * q
 print('n:', n)
 phi_n = totient(n)
 print('totient:', phi_n)
 phi_n_list = relatively_prime_numbers(phi_n)
-print(phi_n_list)
+print('relatively prime numbers to phi(n):', phi_n_list)
 # e = phi_n_list[random.randint(0, len(phi_n_list))]
-e = 17
+e = 13
 print('e:', e)
 d = multiplicative_inverse(e, phi_n)
 print('d:', d)
 
 # m = random.randint(0, n)
 m = 8
-c = pow(m, e, n)
+# c = pow(m, e, n)
+c = 20
 print('plaintext:', m)
 print('ciphertext:', c)
 

test.py

@@ -3,6 +3,6 @@
 from ciphers.utils import *
 import numpy as np
 import math
-import tensorflow
 
-print(tensorflow.version.VERSION)
+
+print(is_prime(59))