Android Malware Detection using Static and Dynamic Analysis

Combines permission-pattern static analysis with sandboxed runtime behaviour monitoring to classify Android APKs as malicious or benign, validated on a labelled dataset of 5,000+ samples.

Project code
AUX-SEC-1407
Domain
Cyber Security
Type
Software project
Level · Year
Advanced · 2025-26

Technologies and components

AndroidMachine LearningPythonSandbox Analysis

What is included

  • Complete source code
  • Database / dataset and setup guide
  • Project report (college format)
  • PPT for review and viva
  • Installation and demo support
  • Viva question guidance

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Frequently asked questions

Can I get the Android Malware Detection using Static and Dynamic Analysis project for my final year?

Yes. This project (code AUX-SEC-1407) is available as a software project kit for the 2025-26 academic year. Contact us on WhatsApp to request it.

Can this project be customised?

Yes. Features, technology and documentation can be modified to suit your guide and college requirements.

Which departments is this project suitable for?

CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.

Get this project with full support

Ask about customisation, delivery time and viva support.

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