Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines Article

Liu, Zhen, Wang, Ruoyu, Japkowicz, Nathalie et al. (2021). Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines . FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING-THEORY METHODS AND APPLICATIONS, 120 91-108. 10.1016/j.future.2021.02.015

Open Access International Collaboration

cited authors

  • Liu, Zhen; Wang, Ruoyu; Japkowicz, Nathalie; Tang, Deyu; Zhang, Wenbin; Zhao, Jie

authors

publication date

  • July 1, 2021

published in

keywords

  • Computer Science
  • Computer Science, Theory & Methods
  • FRAMEWORK
  • FUSION
  • Feature subspaces
  • Mobile malware detection
  • Restricted Boltzmann Machines
  • SECURITY
  • Science & Technology
  • Technology
  • Unsupervised feature learning

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

start page

  • 91

end page

  • 108

volume

  • 120