Automated android malware detection using user feedback

HIGHLIGHTS

  • who: Jou00e3o Duque and colleagues from the CISUC-Center for Informatics and Systems of the University of Coimbra, Coimbra have published the research: Automated Android Malware Detection Using User Feedback, in the Journal: Sensors 2022, 22, 6561. of 31/Oct/2019
  • what: In this paper the main focus is on the apps that bypass the detectors and stay in the marketplace long enough to receive user feedback. The model using the more effective combination of parameters is returned under a reasonable timescale without testing every possible combination in a regular grid search.
  • how . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?