2 datasets found
  1. Android Malware Detection Dataset

    • kaggle.com
    zip
    Updated Feb 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Danny Revaldo (2024). Android Malware Detection Dataset [Dataset]. https://www.kaggle.com/datasets/dannyrevaldo/android-malware-detection-dataset
    Explore at:
    zip(123470 bytes)Available download formats
    Dataset updated
    Feb 24, 2024
    Authors
    Danny Revaldo
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The "Android Malware Detection Dataset" is a comprehensive collection of data designed to facilitate research in the detection and analysis of malware targeting the Android platform. This dataset encompasses a wide range of features extracted from Android applications, providing valuable insights into their behaviors and functionalities.

    Key features of the dataset include:

    • Permission Features: Various permissions requested by Android applications, such as access to location (coarse and fine), camera, microphone, contacts, SMS, calendar, storage, and more.
    • System Features: Features related to system functions and controls, including access to device hardware (e.g., sensors, Bluetooth, NFC), system settings (e.g., changing network state, WiFi settings), and system services (e.g., managing accounts, managing documents).
    • Security-related Features: Features related to security functionalities and behaviors, encompassing permission management, authentication, encryption (e.g., cryptographic operations), and security policy enforcement.
    • Communication Features: Features related to communication functionalities, including sending and receiving SMS messages, making phone calls, accessing network state, and managing network connections.
    • Data Access Features: Features related to accessing and manipulating data, such as reading and writing to various data sources (e.g., external storage, databases), accessing user information (e.g., contacts, call logs), and accessing app-specific data.
    • App Lifecycle Features: Features related to managing the application lifecycle, including app installation and uninstallation, app startup and shutdown, app updates, and app permissions.
    • Device Control Features: Features related to controlling device behavior and settings, such as changing system settings, modifying audio settings, controlling device display, and managing device power.
    • Miscellaneous Features: Other miscellaneous features including accessing system logs, system services and components (e.g., camera, location manager), handling system events (e.g., incoming calls, boot completed), and interacting with system UI components.

    This dataset provides researchers with a rich source of information to develop and evaluate effective malware detection and analysis techniques, ultimately contributing to the enhancement of mobile security on the Android platform.

  2. m

    Android Malware and Normal permissions dataset

    • data.mendeley.com
    • impactcybertrust.org
    Updated Mar 13, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Arvind Mahindru (2018). Android Malware and Normal permissions dataset [Dataset]. http://doi.org/10.17632/958wvr38gy.1
    Explore at:
    Dataset updated
    Mar 13, 2018
    Authors
    Arvind Mahindru
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains 18,850 normal android application packages and 10,000 malware android packages which are used to identify the behaviour of malware application on permission they need at run-time.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Danny Revaldo (2024). Android Malware Detection Dataset [Dataset]. https://www.kaggle.com/datasets/dannyrevaldo/android-malware-detection-dataset
Organization logo

Android Malware Detection Dataset

Exploring Android Malware: A Comprehensive Dataset for Detection and Analysis

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
zip(123470 bytes)Available download formats
Dataset updated
Feb 24, 2024
Authors
Danny Revaldo
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

The "Android Malware Detection Dataset" is a comprehensive collection of data designed to facilitate research in the detection and analysis of malware targeting the Android platform. This dataset encompasses a wide range of features extracted from Android applications, providing valuable insights into their behaviors and functionalities.

Key features of the dataset include:

  • Permission Features: Various permissions requested by Android applications, such as access to location (coarse and fine), camera, microphone, contacts, SMS, calendar, storage, and more.
  • System Features: Features related to system functions and controls, including access to device hardware (e.g., sensors, Bluetooth, NFC), system settings (e.g., changing network state, WiFi settings), and system services (e.g., managing accounts, managing documents).
  • Security-related Features: Features related to security functionalities and behaviors, encompassing permission management, authentication, encryption (e.g., cryptographic operations), and security policy enforcement.
  • Communication Features: Features related to communication functionalities, including sending and receiving SMS messages, making phone calls, accessing network state, and managing network connections.
  • Data Access Features: Features related to accessing and manipulating data, such as reading and writing to various data sources (e.g., external storage, databases), accessing user information (e.g., contacts, call logs), and accessing app-specific data.
  • App Lifecycle Features: Features related to managing the application lifecycle, including app installation and uninstallation, app startup and shutdown, app updates, and app permissions.
  • Device Control Features: Features related to controlling device behavior and settings, such as changing system settings, modifying audio settings, controlling device display, and managing device power.
  • Miscellaneous Features: Other miscellaneous features including accessing system logs, system services and components (e.g., camera, location manager), handling system events (e.g., incoming calls, boot completed), and interacting with system UI components.

This dataset provides researchers with a rich source of information to develop and evaluate effective malware detection and analysis techniques, ultimately contributing to the enhancement of mobile security on the Android platform.

Search
Clear search
Close search
Google apps
Main menu