AndroAnalyzer: android malicious software detection based on deep learning


PEERJ COMPUTER SCIENCE, vol.7, pp.1-20, 2021 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 7
  • Publication Date: 2021
  • Doi Number: 10.7717/peerj-cs.533
  • Title of Journal : PEERJ COMPUTER SCIENCE
  • Page Numbers: pp.1-20


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.