02_statistics.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BENIGN                        2359289\n",
      "DoS Hulk                       231073\n",
      "PortScan                       158930\n",
      "DDoS                            41835\n",
      "DoS GoldenEye                   10293\n",
      "FTP-Patator                      7938\n",
      "SSH-Patator                      5897\n",
      "DoS slowloris                    5796\n",
      "DoS Slowhttptest                 5499\n",
      "Bot                              1966\n",
      "Web Attack - Brute Force         1507\n",
      "Web Attack - XSS                  652\n",
      "Infiltration                       36\n",
      "Web Attack - Sql Injection         21\n",
      "Heartbleed                         11\n",
      "Name: Label, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mission accomplished!\n",
      "Total operation time: =  13.035051822662354 seconds\n"
     ]
    }
   ],
   "source": [
    "##  all_data.csv files is required for the operation of the program.\n",
    "##  all_data.csv file must be located in the same directory as the program.\n",
    "\n",
    "\n",
    "\n",
    "##  The purpose of this program is to provide statistics about the data contained in the dataset.\n",
    "##  Considering that some of the data are very large and some of them are very small, the graphics are created in three separate groups, so that all data can be seen:\n",
    "##          big: labels with more than 11000 numbers\n",
    "##          medium: labels with numbers between 600 and 11000\n",
    "##          small: labels with fewer than 600 numbers\n",
    "##  \n",
    "##  In the last graphics, the rates of all attacks and normal behaviors are given.\n",
    "\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt; plt.rcdefaults()\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import time\n",
    "seconds = time.time()\n",
    "\n",
    "#  graph creation function\n",
    "def graph(objects,performance,x_label,y_label):\n",
    "    y_pos = np.arange(len(objects))\n",
    "    plt.barh(y_pos, performance, align='center', alpha=0.5)\n",
    "    plt.yticks(y_pos, objects)\n",
    "    plt.xlabel(x_label)\n",
    "    plt.title(y_label)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "df=pd.read_csv('all_data.csv', usecols=[\"Label\"])\n",
    "print(df.iloc[:,0].value_counts())\n",
    "a=(df.iloc[:,0].value_counts())\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "key=a.keys()\n",
    "values=a.values\n",
    "small_labels=[]\n",
    "small_values=[]\n",
    "big_labels=[]\n",
    "big_values=[]\n",
    "medium_labels=[]\n",
    "medium_values=[]\n",
    "attacak=0\n",
    "benign=0\n",
    "\n",
    "\n",
    "## In this section, the attacks are grouped under 3 groups,\n",
    "## so that all values can be seen on the graph.\n",
    "for i in range(0,len(values)):\n",
    "    if values[i]>11000:\n",
    "        big_labels.append(str(key[i]))\n",
    "        big_values.append(values[i])\n",
    "    elif values[i]<600:\n",
    "        small_labels.append(str(key[i]))\n",
    "        small_values.append(values[i]) \n",
    "    else:\n",
    "        medium_labels.append(str(key[i]))\n",
    "        medium_values.append(values[i])\n",
    "\n",
    "    if str(key[i])==\"BENIGN\":\n",
    "        benign+=values[i]\n",
    "    else:\n",
    "        attacak+=values[i]\n",
    "        \n",
    "key =[benign,attacak]\n",
    "\n",
    "\n",
    "#functions are called to create a chartes\n",
    "labels=[\"BENIGN %\"+str(round(benign/(benign+attacak),2)*100),\n",
    "        \"ATTACK %\"+str(round(attacak/(benign+attacak),2)*100)]\n",
    "graph(big_labels,big_values,\"Numbers\",\"Attacks Labels - High-number group\")\n",
    "graph(medium_labels,medium_values,\"Numbers\",\"Attacks Labels - Medium-number group\")\n",
    "graph(small_labels,small_values,\"Numbers\",\"Attacks Labels - Small -number group\")\n",
    "graph(labels,key,\"Numbers\",\"Attack and Benign Percentage\")\n",
    "\n",
    "\n",
    "\n",
    "print(\"mission accomplished!\")\n",
    "print(\"Total operation time: = \",time.time()- seconds ,\"seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}