A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization

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...

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Bibliographic Details
Main Authors:	Farhan Ullah, Gautam Srivastava, Shamsher Ullah
Format:	Article
Language:	English
Published:	SpringerOpen 2022-11-01
Series:	Journal of Cloud Computing: Advances, Systems and Applications
Subjects:	Android malware Control flow graph Malware visualization Transfer learning Ensemble learning Cybersecurity
Online Access:	https://doi.org/10.1186/s13677-022-00349-8

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