A modified resnext for android malware identification and classification

HIGHLIGHTS

• who: from the School of Computer Science, Umm Al-Qura University, Mecca, Saudi Arabia have published the Article: A Modified ResNeXt for Android Malware Identification and Classification, in the Journal: Computational Intelligence and Neuroscience of 20/05/2022
• what: The authors proposed a modified ResNeXt model by embedding a new regularization technique to improve the classification task. The authors present a comprehensive evaluation of the Android malware classification and detection using the modified ResNeXt. In the study by Massarelli et_al , the dynamic analysis was used to find the resource consumption metrics, including CPU, memory, and . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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