An improved binary owl feature selection in the context of android malware detection

HIGHLIGHTS

• who: Hadeel Alazzam and colleagues from the Department of Intelligent Systems, Al-Balqa Applied University, Al-Salt, Jordan have published the Article: An Improved Binary Owl Feature Selection in the Context of Android Malware Detection, in the Journal: Computers 2022, 11, 173. of /2022/
• what: The contributions of this paper are summarized as follows: 3 of 19 A comprehensive review of the latest research for detecting malicious applications on the Android platform is presented. The study by_[16] serves as an illustration of works that are concerned with deep learning for the development of Android . . .
  

   

  

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