Login / Signup

Efficient concept drift handling for batch android malware detection models.

Borja Molina-CoronadoUsue MoriAlexander MendiburuJosé Miguel-Alonso
Published in: Pervasive Mob. Comput. (2023)
Keyphrases
  • malware detection
  • concept drift
  • anomaly detection
  • batch learning
  • malicious executables
  • probabilistic model
  • data stream classification
  • decision trees
  • database systems
  • data analysis
  • non stationary