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Investigating Feature and Model Importance in Android Malware Detection:
  An Implemented Survey and Experimental Comparison of ML-Based Methods
v1v2 (latest)

Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods

30 January 2023
Ali Muzaffar
H. R. Hassen
Hind Zantout
M. Lones
ArXiv (abs)PDFHTML

Papers citing "Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods"

2 / 2 papers shown
Title
ActDroid: An active learning framework for Android malware detection
ActDroid: An active learning framework for Android malware detection
Ali Muzaffar
H. R. Hassen
Hind Zantout
M. Lones
46
1
0
30 Jan 2024
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware
  Detection
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
Ali Muzaffar
H. R. Hassen
Hind Zantout
M. Lones
13
2
0
08 Aug 2023
1