dataset · Mendeley Data · 2026
Android Malware Analysis
Haque, Md Sadman, Hossain, Md Sakhawat, Robin, Robiul Awoul, Tarisha, Asma Sadia, Ahmmed, Suman, Mukta, Jannatun Noor
Cited by 0Open access
Abstract
The uploaded dataset (CIC-AndMal2017) contain curated information for Android malware analysis. The dataset is provided in CSV format and includes features selected for effective classification and detection of various malware families and benign applications. It is structured with clearly labeled columns for features and class labels, enabling straightforward use for research, analysis, and benchmarking in Android malware detection studies. This CSV dataset were generated from existing publicly available Android malware dataset. We extracted and organized the relevant features into CSV format to facilitate analysis and reproducibility.
Cite this paper
Haque, M. S., Hossain, M. S., Robin, R. A., Tarisha, A. S., Ahmmed, S., & Mukta, J. N. (2026). Android Malware Analysis. Mendeley Data. https://doi.org/10.17632/bpkksc9v5s
Haque, Md Sadman, et al. “Android Malware Analysis.” Mendeley Data, 2026, https://doi.org/10.17632/bpkksc9v5s.
Haque, Md Sadman, Md Sakhawat Hossain, Robiul Awoul Robin, Asma Sadia Tarisha, Suman Ahmmed, and Jannatun Noor Mukta. 2026. “Android Malware Analysis.” Mendeley Data. https://doi.org/10.17632/bpkksc9v5s.
Haque, M.S. et al. (2026) ‘Android Malware Analysis’, Mendeley Data. Available at: https://doi.org/10.17632/bpkksc9v5s.
@misc{haque2026android,
title = {{Android Malware Analysis}},
author = {Haque, Md Sadman and Hossain, Md Sakhawat and Robin, Robiul Awoul and Tarisha, Asma Sadia and Ahmmed, Suman and Mukta, Jannatun Noor},
journal = {Mendeley Data},
year = {2026},
doi = {10.17632/bpkksc9v5s}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.