ConstantCoder/Cyber-Security-Attack-Simulator

1{2 "cells": [3  {4   "cell_type": "code",5   "execution_count": 1,6   "id": "336bac24",7   "metadata": {8    "collapsed": true9   },10   "outputs": [11    {12     "ename": "FileNotFoundError",13     "evalue": "[Errno 2] No such file or directory: 'user_actions.json'",14     "output_type": "error",15     "traceback": [16      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",17      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",18      "Cell \u001b[1;32mIn[1], line 9\u001b[0m\n\u001b[0;32m      6\u001b[0m log_file_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser_actions.json\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m      8\u001b[0m \u001b[38;5;66;03m# Verileri JSON dosyasından yükle\u001b[39;00m\n\u001b[1;32m----> 9\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(log_file_path, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m     10\u001b[0m     logs \u001b[38;5;241m=\u001b[39m [json\u001b[38;5;241m.\u001b[39mloads(line\u001b[38;5;241m.\u001b[39mstrip()\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m)) \u001b[38;5;28;01mfor\u001b[39;00m line \u001b[38;5;129;01min\u001b[39;00m f]\n\u001b[0;32m     12\u001b[0m \u001b[38;5;66;03m# DataFrame oluştur\u001b[39;00m\n",19      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\IPython\\core\\interactiveshell.py:310\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m    303\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m    304\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m    305\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    306\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    307\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    308\u001b[0m     )\n\u001b[1;32m--> 310\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m io_open(file, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",20      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'user_actions.json'"21     ]22    }23   ],24   "source": [25    "import pandas as pd\n",26    "import json\n",27    "import os\n",28    "\n",29    "# JSON dosyasının yolu\n",30    "log_file_path = 'user_actions.json'\n",31    "\n",32    "# Verileri JSON dosyasından yükle\n",33    "with open(log_file_path, 'r') as f:\n",34    "    logs = [json.loads(line.strip().replace(\"'\", '\"')) for line in f]\n",35    "\n",36    "# DataFrame oluştur\n",37    "df = pd.DataFrame(logs)\n",38    "\n",39    "# Temel analizler\n",40    "print(\"Toplam eylem sayısı:\", len(df))\n",41    "print(\"Eylem türleri dağılımı:\\n\", df['actionType'].value_counts())\n",42    "\n",43    "# Belirli bir türdeki eylemleri filtreleme\n",44    "click_actions = df[df['actionType'] == 'click']\n",45    "print(\"Click eylemleri:\\n\", click_actions)\n"46   ]47  },48  {49   "cell_type": "code",50   "execution_count": null,51   "id": "f32baebc",52   "metadata": {},53   "outputs": [],54   "source": []55  }56 ],57 "metadata": {58  "kernelspec": {59   "display_name": "Python 3 (ipykernel)",60   "language": "python",61   "name": "python3"62  },63  "language_info": {64   "codemirror_mode": {65    "name": "ipython",66    "version": 367   },68   "file_extension": ".py",69   "mimetype": "text/x-python",70   "name": "python",71   "nbconvert_exporter": "python",72   "pygments_lexer": "ipython3",73   "version": "3.11.7"74  }75 },76 "nbformat": 4,77 "nbformat_minor": 578}79