6-4-MultiCvsNDurationFlows.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c9e113fb-5b60-4c1a-a81f-41d61dd2255c",
   "metadata": {},
   "source": [
    "## Compare the Binary Classification Performance in Complete vs N Duration Flows Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b4882316-f28c-4f53-91dd-64f96b28edce",
   "metadata": {},
   "outputs": [],
   "source": [
    "MODEL = \"rf\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "05242936-a2a2-4375-8090-3c7502ec5f0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf     7693         729          6964                                                                     \n",
      "                                                    DoS GoldenEye          270          8        13.22           19 \n",
      "                                                    DoS Hulk              5917          6         8.51           14 \n",
      "                                                    DoS Slowhttptest       777          3         5.50           17 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_5      7693         729          6964                                                                     \n",
      "                                                    DoS GoldenEye          270          3         7.11           15 \n",
      "                                                    DoS Hulk              5917          3         4.03           10 \n",
      "                                                    DoS Slowhttptest       777          2         3.98            4 \n",
      "CF Train, CF Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00       182\n",
      "   DoS GoldenEye       1.00      1.00      1.00        68\n",
      "        DoS Hulk       1.00      1.00      1.00      1480\n",
      "DoS Slowhttptest       1.00      1.00      1.00       194\n",
      "\n",
      "        accuracy                           1.00      1924\n",
      "       macro avg       1.00      1.00      1.00      1924\n",
      "    weighted avg       1.00      1.00      1.00      1924\n",
      "\n",
      "\n",
      "N5 Train, N5 Test\n",
      "Accuracy: 0.9787, Balanced Accuracy: 0.8833\n",
      "Macro Precision: 0.9685, Macro Recall: 0.8833, Macro F1 Score: 0.9145\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       0.99      0.99      0.99       182\n",
      "   DoS GoldenEye       0.93      0.56      0.70        68\n",
      "        DoS Hulk       0.98      1.00      0.99      1480\n",
      "DoS Slowhttptest       0.98      0.98      0.98       194\n",
      "\n",
      "        accuracy                           0.98      1924\n",
      "       macro avg       0.97      0.88      0.91      1924\n",
      "    weighted avg       0.98      0.98      0.98      1924\n",
      "\n",
      "\n",
      "CF Train, N5 Test\n",
      "Accuracy: 0.2188, Balanced Accuracy: 0.2880\n",
      "Macro Precision: 0.2499, Macro Recall: 0.2880, Macro F1 Score: 0.1210\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       0.12      0.99      0.21       182\n",
      "   DoS GoldenEye       0.00      0.00      0.00        68\n",
      "        DoS Hulk       0.88      0.16      0.27      1480\n",
      "DoS Slowhttptest       0.00      0.00      0.00       194\n",
      "\n",
      "        accuracy                           0.22      1924\n",
      "       macro avg       0.25      0.29      0.12      1924\n",
      "    weighted avg       0.69      0.22      0.23      1924\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf    82521         1093        81428                                                                     \n",
      "                                                    DoS GoldenEye          107          8        13.91           18 \n",
      "                                                    DoS Hulk             81321          2         9.18           24 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_10    82521         1093        81428                                                                     \n",
      "                                                    DoS GoldenEye          107          3         9.22           14 \n",
      "                                                    DoS Hulk             81321          2         3.16           11 \n",
      "CF Train, CF Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       BENIGN       1.00      1.00      1.00       273\n",
      "DoS GoldenEye       1.00      1.00      1.00        27\n",
      "     DoS Hulk       1.00      1.00      1.00     20331\n",
      "\n",
      "     accuracy                           1.00     20631\n",
      "    macro avg       1.00      1.00      1.00     20631\n",
      " weighted avg       1.00      1.00      1.00     20631\n",
      "\n",
      "\n",
      "N10 Train, N10 Test\n",
      "Accuracy: 0.9999, Balanced Accuracy: 0.9753\n",
      "Macro Precision: 0.9871, Macro Recall: 0.9753, Macro F1 Score: 0.9811\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       BENIGN       1.00      1.00      1.00       273\n",
      "DoS GoldenEye       0.96      0.93      0.94        27\n",
      "     DoS Hulk       1.00      1.00      1.00     20331\n",
      "\n",
      "     accuracy                           1.00     20631\n",
      "    macro avg       0.99      0.98      0.98     20631\n",
      " weighted avg       1.00      1.00      1.00     20631\n",
      "\n",
      "\n",
      "CF Train, N10 Test\n",
      "Accuracy: 0.0331, Balanced Accuracy: 0.3388\n",
      "Macro Precision: 0.3179, Macro Recall: 0.3388, Macro F1 Score: 0.0220\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       BENIGN       0.01      1.00      0.03       273\n",
      "DoS GoldenEye       0.00      0.00      0.00        27\n",
      "     DoS Hulk       0.94      0.02      0.04     20331\n",
      "\n",
      "     accuracy                           0.03     20631\n",
      "    macro avg       0.32      0.34      0.02     20631\n",
      " weighted avg       0.93      0.03      0.04     20631\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf    104191       37334        66857                                                                     \n",
      "                                                    DoS Hulk             66738          6         8.92           15 \n",
      "                                                    DoS Slowhttptest       119          3         3.13            4 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_150    104191       37334        66857                                                                     \n",
      "                                                    DoS Hulk             66738          6         7.81           11 \n",
      "                                                    DoS Slowhttptest       119          2         2.44            4 \n",
      "CF Train, CF Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      9333\n",
      "        DoS Hulk       1.00      1.00      1.00     16685\n",
      "DoS Slowhttptest       1.00      1.00      1.00        30\n",
      "\n",
      "        accuracy                           1.00     26048\n",
      "       macro avg       1.00      1.00      1.00     26048\n",
      "    weighted avg       1.00      1.00      1.00     26048\n",
      "\n",
      "\n",
      "N150 Train, N150 Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      9333\n",
      "        DoS Hulk       1.00      1.00      1.00     16685\n",
      "DoS Slowhttptest       1.00      1.00      1.00        30\n",
      "\n",
      "        accuracy                           1.00     26048\n",
      "       macro avg       1.00      1.00      1.00     26048\n",
      "    weighted avg       1.00      1.00      1.00     26048\n",
      "\n",
      "\n",
      "CF Train, N150 Test\n",
      "Accuracy: 0.8698, Balanced Accuracy: 0.9322\n",
      "Macro Precision: 0.9111, Macro Recall: 0.9322, Macro F1 Score: 0.9110\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       0.73      1.00      0.85      9333\n",
      "        DoS Hulk       1.00      0.80      0.89     16685\n",
      "DoS Slowhttptest       1.00      1.00      1.00        30\n",
      "\n",
      "        accuracy                           0.87     26048\n",
      "       macro avg       0.91      0.93      0.91     26048\n",
      "    weighted avg       0.90      0.87      0.87     26048\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf    20237        17266         2971                                                                     \n",
      "                                                    DoS Hulk              2832          9        11.00           13 \n",
      "                                                    DoS Slowloris          139          6         6.17           25 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_500    20237        17266         2971                                                                     \n",
      "                                                    DoS Hulk              2832          8         8.18           13 \n",
      "                                                    DoS Slowloris          139          5         6.02            7 \n",
      "CF Train, CF Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       BENIGN       1.00      1.00      1.00      4317\n",
      "     DoS Hulk       1.00      1.00      1.00       708\n",
      "DoS Slowloris       1.00      1.00      1.00        35\n",
      "\n",
      "     accuracy                           1.00      5060\n",
      "    macro avg       1.00      1.00      1.00      5060\n",
      " weighted avg       1.00      1.00      1.00      5060\n",
      "\n",
      "\n",
      "N500 Train, N500 Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       BENIGN       1.00      1.00      1.00      4317\n",
      "     DoS Hulk       1.00      1.00      1.00       708\n",
      "DoS Slowloris       1.00      1.00      1.00        35\n",
      "\n",
      "     accuracy                           1.00      5060\n",
      "    macro avg       1.00      1.00      1.00      5060\n",
      " weighted avg       1.00      1.00      1.00      5060\n",
      "\n",
      "\n",
      "CF Train, N500 Test\n",
      "Accuracy: 0.9273, Balanced Accuracy: 0.8267\n",
      "Macro Precision: 0.9738, Macro Recall: 0.8267, Macro F1 Score: 0.8693\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "       BENIGN       0.92      1.00      0.96      4317\n",
      "     DoS Hulk       1.00      0.48      0.65       708\n",
      "DoS Slowloris       1.00      1.00      1.00        35\n",
      "\n",
      "     accuracy                           0.93      5060\n",
      "    macro avg       0.97      0.83      0.87      5060\n",
      " weighted avg       0.93      0.93      0.92      5060\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf    24545         9606        14939                                                                     \n",
      "                                                    DoS GoldenEye          442          9        13.98           28 \n",
      "                                                    DoS Hulk             13856          7        10.20           25 \n",
      "                                                    DoS Slowhttptest       152          3        11.03           23 \n",
      "                                                    DoS Slowloris          489          6        17.25           25 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_1000    24545         9606        14939                                                                     \n",
      "                                                    DoS GoldenEye          442          2         4.08            8 \n",
      "                                                    DoS Hulk             13856          2         5.56           14 \n",
      "                                                    DoS Slowhttptest       152          2         3.16            8 \n",
      "                                                    DoS Slowloris          489          2         4.22            7 \n",
      "CF Train, CF Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      2402\n",
      "   DoS GoldenEye       1.00      1.00      1.00       111\n",
      "        DoS Hulk       1.00      1.00      1.00      3464\n",
      "DoS Slowhttptest       1.00      1.00      1.00        38\n",
      "   DoS Slowloris       1.00      1.00      1.00       122\n",
      "\n",
      "        accuracy                           1.00      6137\n",
      "       macro avg       1.00      1.00      1.00      6137\n",
      "    weighted avg       1.00      1.00      1.00      6137\n",
      "\n",
      "\n",
      "N1000 Train, N1000 Test\n",
      "Accuracy: 0.9668, Balanced Accuracy: 0.6192\n",
      "Macro Precision: 0.8844, Macro Recall: 0.6192, Macro F1 Score: 0.6984\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      2402\n",
      "   DoS GoldenEye       0.65      0.23      0.34       111\n",
      "        DoS Hulk       0.95      0.99      0.97      3464\n",
      "DoS Slowhttptest       0.84      0.42      0.56        38\n",
      "   DoS Slowloris       0.98      0.45      0.62       122\n",
      "\n",
      "        accuracy                           0.97      6137\n",
      "       macro avg       0.88      0.62      0.70      6137\n",
      "    weighted avg       0.96      0.97      0.96      6137\n",
      "\n",
      "\n",
      "CF Train, N1000 Test\n",
      "Accuracy: 0.5581, Balanced Accuracy: 0.4345\n",
      "Macro Precision: 0.3688, Macro Recall: 0.4345, Macro F1 Score: 0.3116\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       0.51      1.00      0.67      2402\n",
      "   DoS GoldenEye       0.00      0.00      0.00       111\n",
      "        DoS Hulk       1.00      0.28      0.43      3464\n",
      "DoS Slowhttptest       0.06      0.45      0.11        38\n",
      "   DoS Slowloris       0.27      0.45      0.34       122\n",
      "\n",
      "        accuracy                           0.56      6137\n",
      "       macro avg       0.37      0.43      0.31      6137\n",
      "    weighted avg       0.77      0.56      0.52      6137\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf     8763         4243         4520                                                                     \n",
      "                                                    DoS GoldenEye          510          8        13.78           30 \n",
      "                                                    DoS Hulk              3314          7        10.22           25 \n",
      "                                                    DoS Slowhttptest       138         17        21.17           23 \n",
      "                                                    DoS Slowloris          558          7        18.23           25 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_15000     8763         4243         4520                                                                     \n",
      "                                                    DoS GoldenEye          510          2        13.11           27 \n",
      "                                                    DoS Hulk              3314          2         2.06           19 \n",
      "                                                    DoS Slowhttptest       138          5         6.43           13 \n",
      "                                                    DoS Slowloris          558          6        12.68           25 \n",
      "CF Train, CF Test\n",
      "Accuracy: 0.9995, Balanced Accuracy: 0.9998\n",
      "Macro Precision: 0.9986, Macro Recall: 0.9998, Macro F1 Score: 0.9992\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      1061\n",
      "   DoS GoldenEye       1.00      1.00      1.00       127\n",
      "        DoS Hulk       1.00      1.00      1.00       829\n",
      "DoS Slowhttptest       1.00      1.00      1.00        34\n",
      "   DoS Slowloris       0.99      1.00      1.00       140\n",
      "\n",
      "        accuracy                           1.00      2191\n",
      "       macro avg       1.00      1.00      1.00      2191\n",
      "    weighted avg       1.00      1.00      1.00      2191\n",
      "\n",
      "\n",
      "N15000 Train, N15000 Test\n",
      "Accuracy: 0.9991, Balanced Accuracy: 0.9925\n",
      "Macro Precision: 0.9925, Macro Recall: 0.9925, Macro F1 Score: 0.9925\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      1061\n",
      "   DoS GoldenEye       0.99      0.99      0.99       127\n",
      "        DoS Hulk       1.00      1.00      1.00       829\n",
      "DoS Slowhttptest       0.97      0.97      0.97        34\n",
      "   DoS Slowloris       1.00      1.00      1.00       140\n",
      "\n",
      "        accuracy                           1.00      2191\n",
      "       macro avg       0.99      0.99      0.99      2191\n",
      "    weighted avg       1.00      1.00      1.00      2191\n",
      "\n",
      "\n",
      "CF Train, N15000 Test\n",
      "Accuracy: 0.6016, Balanced Accuracy: 0.5851\n",
      "Macro Precision: 0.5015, Macro Recall: 0.5851, Macro F1 Score: 0.5302\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       0.55      1.00      0.71      1061\n",
      "   DoS GoldenEye       1.00      0.97      0.98       127\n",
      "        DoS Hulk       0.00      0.00      0.00       829\n",
      "DoS Slowhttptest       0.00      0.00      0.00        34\n",
      "   DoS Slowloris       0.96      0.96      0.96       140\n",
      "\n",
      "        accuracy                           0.60      2191\n",
      "       macro avg       0.50      0.59      0.53      2191\n",
      "    weighted avg       0.39      0.60      0.46      2191\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DS         TOTAL        BENIGN      ANOMALY        Anomaly breakdown      Min Pkts.   Mean Pkts.   Max Pkts.   \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_cf    30545        29864         681                                                                      \n",
      "                                                    DoS GoldenEye          341          8        14.23           24 \n",
      "                                                    DoS Slowhttptest       340          3         6.15           21 \n",
      "------------ ------------ ------------ ------------ -------------------------- ---------- ------------ ------------ \n",
      "wednesday_20000    30545        29864         681                                                                      \n",
      "                                                    DoS GoldenEye          341          8        14.11           24 \n",
      "                                                    DoS Slowhttptest       340          3         5.01           19 \n",
      "CF Train, CF Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      7467\n",
      "   DoS GoldenEye       1.00      1.00      1.00        85\n",
      "DoS Slowhttptest       1.00      1.00      1.00        85\n",
      "\n",
      "        accuracy                           1.00      7637\n",
      "       macro avg       1.00      1.00      1.00      7637\n",
      "    weighted avg       1.00      1.00      1.00      7637\n",
      "\n",
      "\n",
      "N20000 Train, N20000 Test\n",
      "Accuracy: 1.0000, Balanced Accuracy: 1.0000\n",
      "Macro Precision: 1.0000, Macro Recall: 1.0000, Macro F1 Score: 1.0000\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      7467\n",
      "   DoS GoldenEye       1.00      1.00      1.00        85\n",
      "DoS Slowhttptest       1.00      1.00      1.00        85\n",
      "\n",
      "        accuracy                           1.00      7637\n",
      "       macro avg       1.00      1.00      1.00      7637\n",
      "    weighted avg       1.00      1.00      1.00      7637\n",
      "\n",
      "\n",
      "CF Train, N20000 Test\n",
      "Accuracy: 0.9996, Balanced Accuracy: 0.9999\n",
      "Macro Precision: 0.9886, Macro Recall: 0.9999, Macro F1 Score: 0.9942\n",
      "Classification Report:\n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "          BENIGN       1.00      1.00      1.00      7467\n",
      "   DoS GoldenEye       0.97      1.00      0.98        85\n",
      "DoS Slowhttptest       1.00      1.00      1.00        85\n",
      "\n",
      "        accuracy                           1.00      7637\n",
      "       macro avg       0.99      1.00      0.99      7637\n",
      "    weighted avg       1.00      1.00      1.00      7637\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import json\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, balanced_accuracy_score, classification_report, confusion_matrix, ConfusionMatrixDisplay\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "from sklearn.metrics import precision_score, recall_score, f1_score\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "\n",
    "def process_dataframes(dfs, n_values, day):    \n",
    "    warnings.filterwarnings(\"ignore\")  # Ignore warnings for cleaner output\n",
    "\n",
    "    # Define table formatting\n",
    "    header = [\"DS\", \"TOTAL\", \"BENIGN\", \"ANOMALY\", \"Anomaly breakdown\", \"Min Pkts.\", \"Mean Pkts.\", \"Max Pkts.\"]\n",
    "    rowh = \"{:^12} \" * 4 + \"{:^26} \" + \"{:^10} \" + \"{:^12} \" + \"{:^12} \"\n",
    "    row  = \"{:^12} \" * 4 + \"{:<18}  \" + \"{:>6} \" + \"{:>10} \" + \"{:>12} \" + \"{:>12} \"\n",
    "    sep  = [\"-\"*12] * 4 + [\"-\"*26] + [\"-\"*10] + [\"-\"*12] + [\"-\"*12]\n",
    "\n",
    "    # Print header\n",
    "    print(rowh.format(*header))\n",
    "\n",
    "    # Process each DataFrame\n",
    "    for n, csv in zip(n_values, dfs):\n",
    "        print(rowh.format(*sep))  # Separator line\n",
    "\n",
    "        # Compute statistics\n",
    "        TOTAL = len(csv)\n",
    "        BENIGN = len(csv[csv[\"label\"] == \"BENIGN\"])\n",
    "        ANOMALY = len(csv[(csv[\"label\"] != \"BENIGN\")])\n",
    "\n",
    "        # Print the DataFrame summary\n",
    "        print(row.format(day + '_' + str(n), TOTAL, BENIGN, ANOMALY, \"\", \"\", \"\", \"\", \"\"))\n",
    "\n",
    "        # Iterate through each unique label\n",
    "        for label in sorted(csv[\"label\"].unique().tolist()):\n",
    "            if label in [\"BENIGN\"]:\n",
    "                continue  # Skip benign and NaN labels\n",
    "\n",
    "            # Calculate duration statistics for each anomaly\n",
    "            anomaly_data = csv[csv[\"label\"] == label]['bidirectional_packets']\n",
    "            min_duration = np.min(anomaly_data) if not anomaly_data.empty else 0\n",
    "            mean_duration = np.mean(anomaly_data) if not anomaly_data.empty else 0\n",
    "            max_duration = np.max(anomaly_data) if not anomaly_data.empty else 0\n",
    "            \n",
    "            # Print anomaly statistics\n",
    "            print(row.format(\"\", \"\", \"\", \"\", label, len(csv[csv[\"label\"] == label]), min_duration, \"{:.2f}\".format(mean_duration), max_duration))\n",
    "\n",
    "\n",
    "# Function to evaluate model, store metrics, and return confusion matrix for plotting\n",
    "def evaluate_and_store_results(y_true, y_pred, dataset_name):\n",
    "    # Compute both non-normalized and normalized confusion matrices\n",
    "    cm = confusion_matrix(y_true, y_pred)\n",
    "    cm_normalized = confusion_matrix(y_true, y_pred, normalize='true')\n",
    "\n",
    "    # Calculate individual metrics for multi-class classification\n",
    "    # precision = precision_score(y_true, y_pred, average=None)  # Returns score for each class\n",
    "    # recall = recall_score(y_true, y_pred, average=None)\n",
    "    # f1 = f1_score(y_true, y_pred, average=None)\n",
    "    \n",
    "    # Calculate average metrics for overall evaluation\n",
    "    precision_macro = precision_score(y_true, y_pred, average='macro', zero_division=0)\n",
    "    recall_macro = recall_score(y_true, y_pred, average='macro', zero_division=0)\n",
    "    f1_macro = f1_score(y_true, y_pred, average='macro', zero_division=0)\n",
    "    \n",
    "    metrics = {\n",
    "        'Accuracy': accuracy_score(y_true, y_pred),\n",
    "        'Balanced Accuracy': balanced_accuracy_score(y_true, y_pred),\n",
    "        # 'Precision': precision.tolist(),  # Convert numpy array to list for JSON compatibility\n",
    "        # 'Recall': recall.tolist(),\n",
    "        # 'F1 Score': f1.tolist(),\n",
    "        'Macro Precision': precision_macro,\n",
    "        'Macro Recall': recall_macro,\n",
    "        'Macro F1 Score': f1_macro,\n",
    "        'Classification Report': classification_report(y_true, y_pred, output_dict=True, zero_division=0),\n",
    "        'Confusion Matrix': cm.tolist(),  # Store the non-normalized confusion matrix\n",
    "        'Normalized Confusion Matrix': cm_normalized.tolist()  # Store the normalized confusion matrix\n",
    "    }\n",
    "    \n",
    "    metrics_dict[dataset_name] = metrics  # Store metrics\n",
    "    print(f\"{dataset_name}\") \n",
    "    print(f\"Accuracy: {metrics['Accuracy']:.4f}, Balanced Accuracy: {metrics['Balanced Accuracy']:.4f}\")\n",
    "    # print(f\"Precision (per class): {metrics['Precision']}\")\n",
    "    # print(f\"Recall (per class): {metrics['Recall']}\")\n",
    "    # print(f\"F1 Score (per class): {metrics['F1 Score']}\")\n",
    "    print(f\"Macro Precision: {metrics['Macro Precision']:.4f}, Macro Recall: {metrics['Macro Recall']:.4f}, Macro F1 Score: {metrics['Macro F1 Score']:.4f}\")\n",
    "    print(f\"Classification Report:\\n{classification_report(y_true, y_pred)}\\n\")\n",
    "    return cm_normalized  # Return normalized matrix for plotting\n",
    "\n",
    "# Set global default font size for all plots\n",
    "plt.rcParams.update({'font.size': 14})\n",
    "\n",
    "# Define the columns to keep\n",
    "columns_to_keep = [\n",
    "    \"protocol\", \n",
    "    \"bidirectional_duration_ms\", \"bidirectional_packets\", \"bidirectional_bytes\",\n",
    "    \"src2dst_duration_ms\", \"src2dst_packets\", \"src2dst_bytes\",\n",
    "    \"dst2src_duration_ms\", \"dst2src_packets\",  \"dst2src_bytes\",\n",
    "    \"bidirectional_min_ps\", \"bidirectional_mean_ps\", \"bidirectional_stddev_ps\", \"bidirectional_max_ps\", \n",
    "    \"src2dst_min_ps\", \"src2dst_mean_ps\", \"src2dst_stddev_ps\", \"src2dst_max_ps\",\n",
    "    \"dst2src_min_ps\", \"dst2src_mean_ps\", \"dst2src_stddev_ps\", \"dst2src_max_ps\",\n",
    "    \"bidirectional_min_piat_ms\", \"bidirectional_mean_piat_ms\", \"bidirectional_stddev_piat_ms\", \"bidirectional_max_piat_ms\", \n",
    "    \"src2dst_min_piat_ms\", \"src2dst_mean_piat_ms\", \"src2dst_stddev_piat_ms\", \"src2dst_max_piat_ms\", \n",
    "    \"dst2src_min_piat_ms\", \"dst2src_mean_piat_ms\", \"dst2src_stddev_piat_ms\", \"dst2src_max_piat_ms\",\n",
    "    \"bidirectional_syn_packets\", \"bidirectional_cwr_packets\", \"bidirectional_ece_packets\", \"bidirectional_urg_packets\",\n",
    "    \"bidirectional_ack_packets\", \"bidirectional_psh_packets\", \"bidirectional_rst_packets\", \"bidirectional_fin_packets\",\n",
    "    \"src2dst_syn_packets\", \"src2dst_cwr_packets\", \"src2dst_ece_packets\", \"src2dst_urg_packets\",\n",
    "    \"src2dst_ack_packets\", \"src2dst_psh_packets\", \"src2dst_rst_packets\", \"src2dst_fin_packets\",\n",
    "    \"dst2src_syn_packets\", \"dst2src_cwr_packets\", \"dst2src_ece_packets\", \"dst2src_urg_packets\",\n",
    "    \"dst2src_ack_packets\", \"dst2src_psh_packets\", \"dst2src_rst_packets\", \"dst2src_fin_packets\",    \n",
    "]\n",
    "\n",
    "RESULTS_DIR = \"results\"\n",
    "CSV_DIR = \"datasets\"\n",
    "DAY = \"wednesday\"\n",
    "\n",
    "CF = 'cf'\n",
    "Ns = [5, 10, 150, 500, 1000, 15000, 20000] \n",
    "\n",
    "# Initialize a dictionary to store all metrics\n",
    "all_metrics_dict = {}\n",
    "\n",
    "# Load the constant cf dataframe\n",
    "df1 = pd.read_parquet(os.path.join(CSV_DIR, f'wednesday_{CF}.parquet'))\n",
    "\n",
    "# Main cycle\n",
    "for n in Ns:\n",
    "    # Load each N dataframe\n",
    "    df2 = pd.read_parquet(os.path.join(CSV_DIR, f'wednesday_fd_{n}.parquet'))\n",
    "    \n",
    "    df1_filtered = df1[df1['flow_key_hash'].isin(df2['flow_key_hash'])][columns_to_keep + ['label', 'flow_key_hash']]\n",
    "    df2_filtered = df2[df2['flow_key_hash'].isin(df1['flow_key_hash'])][columns_to_keep + ['label', 'flow_key_hash']]\n",
    "\n",
    "    process_dataframes([df1_filtered, df2_filtered], [CF,n], DAY)\n",
    "    \n",
    "    # Train-test split based on 'forward_hash'\n",
    "    _, test_hashes = train_test_split(df1_filtered['flow_key_hash'], test_size=0.25, random_state=42, stratify=df1_filtered['label'])\n",
    "    train_mask_df1 = ~df1_filtered['flow_key_hash'].isin(test_hashes)\n",
    "    test_mask_df1 = df1_filtered['flow_key_hash'].isin(test_hashes)\n",
    "    train_mask_df2 = ~df2_filtered['flow_key_hash'].isin(test_hashes)\n",
    "    test_mask_df2 = df2_filtered['flow_key_hash'].isin(test_hashes)\n",
    "    \n",
    "    # Preparing training and testing sets\n",
    "    X_train_1, X_test_1 = df1_filtered[train_mask_df1][columns_to_keep], df1_filtered[test_mask_df1][columns_to_keep]\n",
    "    y_train_1, y_test_1 = df1_filtered[train_mask_df1]['label'], df1_filtered[test_mask_df1]['label']\n",
    "    X_train_2, X_test_2 = df2_filtered[train_mask_df2][columns_to_keep], df2_filtered[test_mask_df2][columns_to_keep]\n",
    "    y_train_2, y_test_2 = df2_filtered[train_mask_df2]['label'], df2_filtered[test_mask_df2]['label']\n",
    "\n",
    "    if MODEL == \"dt\":\n",
    "        # Initialize and train Decision Tree classifiers\n",
    "        clf1 = DecisionTreeClassifier(random_state=42).fit(X_train_1, y_train_1)\n",
    "        clf2 = DecisionTreeClassifier(random_state=42).fit(X_train_2, y_train_2)\n",
    "    if MODEL == \"rf\":\n",
    "        # Initialize and train Random Forest classifier\n",
    "        clf1 = RandomForestClassifier(random_state=42).fit(X_train_1, y_train_1)\n",
    "        clf2 = RandomForestClassifier(random_state=42).fit(X_train_2, y_train_2)\n",
    "\n",
    "    # Dictionary to store all metrics\n",
    "    metrics_dict = {}\n",
    "\n",
    "    # Evaluate and plot results\n",
    "    titles = [f'{CF.upper()} Train, {CF.upper()} Test', f'N{n} Train, N{n} Test', f'{CF.upper()} Train, N{n} Test']\n",
    "    predictions = [clf1.predict(X_test_1), clf2.predict(X_test_2), clf1.predict(X_test_2)]\n",
    "    tests = [y_test_1, y_test_2, y_test_2]\n",
    "    \n",
    "    fig, axes = plt.subplots(1, 3, figsize=(18, 6))\n",
    "    for ax, title, y_test, y_pred in zip(axes.flat, titles, tests, predictions):\n",
    "        cm = evaluate_and_store_results(y_test, y_pred, title)\n",
    "        disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=np.unique(y_test))\n",
    "        disp.plot(cmap=plt.cm.Blues, ax=ax, colorbar=False, values_format='.2f')\n",
    "        ax.title.set_text(title)\n",
    "        plt.setp(ax.get_xticklabels(), rotation=45, ha=\"right\", rotation_mode=\"anchor\")\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    \n",
    "    all_metrics_dict[f'FD{n}'] = metrics_dict  # Store the metrics for this round using N{n} as the key\n",
    "\n",
    "# After the loop, write all_metrics_dict to a single JSON file\n",
    "output_dir = RESULTS_DIR\n",
    "os.makedirs(output_dir, exist_ok=True)  # Ensure output directory exists\n",
    "\n",
    "file_name = f'{MODEL}_multi_{CF}_fdf_evaluation_metrics.json'  # Updated file name to reflect consolidated metrics\n",
    "destination = os.path.join(output_dir, file_name)\n",
    "\n",
    "with open(destination, 'w') as f:\n",
    "    json.dump(all_metrics_dict, f, indent=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84ea29ba-5d9a-4498-a95b-e3e3d5b07516",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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