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...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Doan Minh Trung, Nghi Hoang Khoa, Phan The Duy, Van-Hau Pham, Nguyen Tan Cam
Materialtyp: Artikel
Språk:English
Publicerad: World Scientific Publishing 2024-05-01
Serie:Vietnam Journal of Computer Science
Ämnen:
Android malware
Generative Adversarial Networks
malware detection
machine learning
static analysis
Länkar:https://www.worldscientific.com/doi/10.1142/S2196888824500039

Internet

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

Liknande verk