Android Malware Detection Project

About the Project

Android Malware Detection is a Malware Website Application i created using Python, Machine Learning Models and Streamlit, the website application detects the status of an android application ( MALWARE or DENIGN), the test data set has been extracted from thousand of applications with intents, permissions and may more just to build the awesome Machine Learning Model.

How to test the Model

This Project is an MSC project made for a client but i've decided to share it here on github, there is a pass to the model itself but i would show how everything works here. to get the pass just tweet me

1. Landing Page (to get the pass just tweet me)

2. Main Page

3. Pick a test set (find it in a folder called TestSet on this repo here

4. Click the button for Feature Selection

5. Boom! The model checks the test set and display the status of the application (MALWARE or BENIGN) with the predicted probability which range from 0-1

NB: this project is an MSC project and so see test the full feature of the app you would need a pass, to get the pass kindly tweet me cause the pass can be changed anytime, it isn't constant

Thanks! if you feel there's anything that can be done to improve the project kindly reach out to me below, to see the project click me

Contact

Eniola Ademola - @tweet me - it.eniolaademola@gmail.com

Github Repo: EniolaAdemola/AndroidMalwareDetection