About the Dataset

The dataset was built based on 10,000 Android application samples (500 Ransomware and 9500 (Benign). This dataset includes 389 features; 228 API packages belong to Android API level R and 161 permissions belong to different protection levels (normal, signature, dangerous, and SignatureOrSystem). We counted the occurrences of these features on the collected samples.

Number of Citations

39

How to Cite

If you use this dataset, please cite the following paper:

I. Almomani et al., "Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data," in IEEE Access, vol. 9, pp. 57674-57691, 2021, doi:  10.1109/ACCESS.2021.3071450

BibTeX

@ARTICLE{9398647,
  author={I. {Almomani} and R. {Qaddoura} and M. {Habib} and S. {Alsoghyer} and A. A. {Khayer} and I. {Aljarah} and H. {Faris}},
  journal={IEEE Access}, 
  title={Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data}, 
  year={2021},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/ACCESS.2021.3071450}
}

Acknowledgement

SEL would like to acknowledge the support of Prince Sultan University for paying the Article Processing Charges(APC) of this publication.

Dataset Access

Please send an application email to sel@psu.edu.sa stating the following,

  • The name of your research institution
  • The name of the person requesting access

Make sure to send your application from your university (or research institution) email account.

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