Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios

Kevin Allix, Tegawendé F. Bissyandé, Quentin Jérome, Jacques Klein, Radu State, Yves Le Traon. Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios. Empirical Software Engineering, 21(1):183-211, 2016. [doi]

@article{AllixBJKST16,
  title = {Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios},
  author = {Kevin Allix and Tegawendé F. Bissyandé and Quentin Jérome and Jacques Klein and Radu State and Yves Le Traon},
  year = {2016},
  doi = {10.1007/s10664-014-9352-6},
  url = {http://dx.doi.org/10.1007/s10664-014-9352-6},
  researchr = {https://researchr.org/publication/AllixBJKST16},
  cites = {0},
  citedby = {0},
  journal = {Empirical Software Engineering},
  volume = {21},
  number = {1},
  pages = {183-211},
}