DroidLicious

Dataset

DroidLicious provides a comprehensive dataset of Android applications, meticulously labeled and categorized into malicious and benign apps. The dataset includes detailed dataflows extracted using the DroidLicious system parser.

• Sample Data: Sample Dataset
  The sample dataset comprises 3529 Android applications, with 2263 identified as malicious and 1266 as benign. The dataset contains 585,211 dataflows in the following format:

  --------------------------------
  | Name | Source | Sink | Label |
  --------------------------------
  

  Another representation of the dataflows is provided as:

  --------------------------------
  | Name | Src n ~> Snk n | Label |
  --------------------------------
  

  • Link to detailed format description

• Full Dataset: Full Dataset

Controller

To run DroidLicious, follow these instructions:

1. Pre-requisite: Before running the controller, update line 12 in startFlowDroid.py as required.

2. Commands:

   To execute DroidLicious, use the following commands:

   python main.py "Apk/txt path"
   

   For additional options, use:

   python main.py --fd_option "options" "Apk path"
   

Ensure that you have the necessary dependencies installed and the APK/txt files are correctly placed in the specified paths.

---