A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware

The advancement of information technology has introduced new challenges in cybersecurity, especially related to the Android platform which is the main target of malicious software (malware) attacks. The National Cyber and Crypto Agency (BSSN) of Indonesia reported millions of incidents involving And...

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Bibliografiske detaljer

Principais autores:	Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Reverse engineering malware android machine learning malware detection static malware analysis
Online adgang:	https://ieeexplore.ieee.org/document/11082145/
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