AndroAnalyzer: android malicious software detection based on deep learning


ARSLAN R. S.

PEERJ COMPUTER SCIENCE, 2021 (SCI İndekslerine Giren Dergi) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası:
  • Basım Tarihi: 2021
  • Doi Numarası: 10.7717/peerj-cs.533
  • Dergi Adı: PEERJ COMPUTER SCIENCE

Özet

Background: Technological developments have a significant effect on the development of smart devices. The use of smart devices has become widespread due to their extensive capabilities. The Android operating system is preferred in smart devices due to its open-source structure. This is the reason for its being the target of malware. The advancements in Android malware hiding and detection avoidance methods have overridden traditional malware detection methods.