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Artifact for: Assessing and Improving Malware Detection Sustainability through App Evolution Studies

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DroidSpan

Project artifact for:

Assessing and Improving Malware Detection Sustainability through App Evolution Studies

Other papers using the same artifact

  • On the Deterioration of Learning-Based Malware Detectors for Android
  • Towards Sustainable Android Malware Detection

This repository was created automatically. The contents under this directory mirror what was downloaded from the original artifact link above; refer to that source for the authoritative version, licensing, and any updates.


Original README.md (from the upstream artifact)

DroidSpan

Studying the deterioration problem of learning-based malware detection and improving the sustainability of malware classifiers.

Java code for Droidspan feature extraction: src/ (for code analysis), and scripts/ (convenience code for different steps such as instrumentation, profiling)

ML code for Droidspan: ML/

Feature extraction and ML code for Afonso as referred to in paper: afonso/

Feature extraction and ML code for DroidSieve as referred to in paper: droidsieve/

Feature extraction and ML code for MamaDroid as referred to in paper: mama/

Feature extraction and ML code for MudFlow as referred to in paper: mudflow/

Feature extraction and ML code for RevealDroid as referred to in paper: revealdroid/

Benchmarks: ML/samplelists

About

Artifact for: Assessing and Improving Malware Detection Sustainability through App Evolution Studies

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