DCEL: Classifier Fusion Model for Android Malware Detection

Article Properties
  • DOI (url)
    10.23919/jsee.2024.000018
  • Publication Date
    2024/02/01
  • Journal
    Journal of Systems Engineering and Electronics
  • Indian UGC (journal)
  • Refrences
    31
  • Xiaolong Xu Nanjing University of Posts and Telecommunications,Jiangsu Key Laboratory of Big Data Security & Intelligent Processing,Nanjing,China,210023
  • Shuai Jiang School of Computer Science, Nanjing University of Posts and Telecommunications,Nanjing,China,210023
  • Jinbo Zhao School of Computer Science, Nanjing University of Posts and Telecommunications,Nanjing,China,210023
  • Xinheng Wang School of Computing and Engineering, University of West London,London,UK,W5 5RF
Cite
Xu, Xiaolong, et al. “DCEL: Classifier Fusion Model for Android Malware Detection”. Journal of Systems Engineering and Electronics, vol. 35, no. 1, 2024, pp. 163-77, https://doi.org/10.23919/jsee.2024.000018.
Xu, X., Jiang, S., Zhao, J., & Wang, X. (2024). DCEL: Classifier Fusion Model for Android Malware Detection. Journal of Systems Engineering and Electronics, 35(1), 163-177. https://doi.org/10.23919/jsee.2024.000018
Xu X, Jiang S, Zhao J, Wang X. DCEL: Classifier Fusion Model for Android Malware Detection. Journal of Systems Engineering and Electronics. 2024;35(1):163-77.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
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Engineering (General)
Civil engineering (General)
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Operations management
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Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Android malicious application detection based on APK signature information feedback 2017
Research on Android malware detection based on permission correlation 2017
DeepVisDroid: android malware detection by hybridizing image-based features with deep learning techniques Neural Computing and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 20 2021
Android Malware Detection Using Deep Learning Procedia Computer Science 19 2021
5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks

 Energies
  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
 13 2021