AAGAN: Android Malware Generation System Based on Generative Adversarial Network

AAGAN: Android Malware Generation System Based on Generative Adversarial Network

With the rapid evolution of mobile malware, especially Android malware, machine learning (ML)-based Android malware detection systems have drawn massive attention. Although ML algorithms have recently led to many vital breakthroughs in malware detection, they are still particularly vulnerable to adv...

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Bibliographic Details
Main Authors: Doan Minh Trung, Nghi Hoang Khoa, Phan The Duy, Van-Hau Pham, Nguyen Tan Cam
Format: Article
Language:English
Published: World Scientific Publishing 2024-05-01
Series:Vietnam Journal of Computer Science
Subjects:
Android malware
Generative Adversarial Networks
malware detection
machine learning
static analysis
Online Access:https://www.worldscientific.com/doi/10.1142/S2196888824500039

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https://www.worldscientific.com/doi/10.1142/S2196888824500039

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