Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks

Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks

With the widespread adoption of smartphones over the past decade, mobile applications have become a primary target for malicious attacks, usually in the form of malware. Recent studies have leveraged artificial intelligence (AI) techniques for malware detection and classification. However, applying...

Full description

Saved in:
Bibliographic Details
Main Authors: Shamma Alshebli, Hyeran Mun, Deepak Puthal, Mohamed Jamal Zemerly, Luigi Martino, Ernesto Damiani, Chan Yeob Yeun
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Malware classification
explainable artificial intelligence (XAI)
generative adversarial networks (GAN)
data augmentation
machine learning (ML)
deep learning (DL)
Online Access:https://ieeexplore.ieee.org/document/11062843/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11062843/

Similar Items