A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization
Abstract Android is the most widely used mobile platform, making it a prime target for malicious attacks. Therefore, it is imperative to effectively circumvent these attacks. Recently, machine learning has been a promising solution for malware detection, which relies on distinguishing features. Whil...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-11-01
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Series: | Journal of Cloud Computing: Advances, Systems and Applications |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13677-022-00349-8 |