Login / Signup

HEMD: a highly efficient random forest-based malware detection framework for Android.

Hui-Juan ZhuTonghai JiangBo MaZhu-Hong YouWei-Lei ShiLi Cheng
Published in: Neural Comput. Appl. (2018)
Keyphrases
  • random forest
  • highly efficient
  • malware detection
  • decision trees
  • application programming interface
  • computer vision
  • anomaly detection
  • random forests
  • ensemble classifier
  • machine learning algorithms