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  "fetched_at": "2026-10-20T02:52:53Z",
  "source_url": "https://www.kaggle.com/competitions/deep-learning-for-cyber-security/data",
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      "content": "The dataset represents a group of APK files (rows) and their privileges (columns).\n\nIt contains **8078** samples in total.\n4039 are Malicious and 4039 are Non-Malicious.\nSplit into 70% for train.csv and 30% for test.csv.\n\n\n## Files\n\n*   **train.csv** - the training set (contains all features and classes)\n*   **test.csv** - the test set (contains all features without the class) \n* **sample_submission** - an example of how your submission file should look like\n\n\n## Columns\n\n*   `id` - unique numerical value for each APK file\n*   `Malicious` - identify the class of the APK file (FALSE is benign and TRUE is malicious)\n*   The dataset contains 70 columns which identify the privileges of the APK file \n",
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      "content": "\nهذه المسابقة هي امتداد لورشة عمل **تطبيقات التعلم العميق في الأمن السيبراني**\n\nالهدف الأساسي من المسابقة: تصميم نموذج تعلم عميق يقوم ب**التصنيف الثنائي** لقاعدة البيانات. \nمخرج هذه المسابقة سيكون **كاشفًا للبرمجيات الضارة لنظام أندرويد**\n\n## تفاصيل المسابقة\nتاريخ البدء: يوم الخميس، ١٣\\أكتوبر\\٢٠٢٢\nتاريخ الانتهاء: يوم الثلاثاء، ١٨\\أكتوبر\\٢٠٢٢ في الساعة ١١:٥٩ مساءً\nالفريق: يمكن تكوين فريق من شخص إلى مجموعة من ثلاثة أشخاص\n\n\nيمكنكم الوصول لتعليمات البدء عن طريق هذا \n[الرابط](https://www.kaggle.com/competitions/deep-learning-for-cyber-security/discussion/359655)\n\n.\nThis competition is a follow up to **\"Deep Learning for Cyber Security\"** webinar.\n\nThe competition's main goal is to construct a **Binary Classification** Deep Learning Model on the shared dataset. \nThe resulting model will be an **Android Malware Detector**. \n\n## Competition Details \nStart Date: Thursday, 13/October/2022\nEnd Date: 11:59 p.m. Tuesday, 18/October/2022 \nTeam: 1 to 3 members\n\nHere you can find instructions on [how to get started](https://www.kaggle.com/competitions/deep-learning-for-cyber-security/discussion/359655).\n\n## Acknowledgements \n\nThe event hosted by [Cybersecurity Club](https://linktr.ee/cybersec.upm)\nWe thank Dr. Mohammed Abdulrahman for his collaboration, effort, and support. \nSpecial appreciation to Mohammed Albawab, Mohammed Qintar, and Mohammed Adel for cleaning the dataset. \n ",
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    {
      "name": "Evaluation",
      "content": "The evaluation for the competition will be counted based on the best prediction **accuracy** resulted by the model",
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    {
      "name": "rules",
      "content": "The rules of the competition are:\n\n - Don't cheat!\n - Apply yourself!\n - Register your team in the [Form](https://forms.office.com/r/xJdB1jxqxc)\n - Name your notebook with your team name \n - Have fun!\n ",
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