Review of Deep Learning-based Malware Detection for Android and Windows
  System
Nazmul Islam Seokjoo Shin
Differentiating malware is important to determine their behaviors and level
of threat; as well as to devise defensive strategy against them. In response,
various anti-malware systems have been developed to distinguish between
different malwares. However, most of the recent malware families are Artificial
Intelligence (AI) enable and can deceive traditional anti-malware systems using
different obfuscation techniques. Therefore, only AI-enabled anti-malware
system is robust against these techniques and can detect different features in
the malware files that aid in malicious activities. In this study we review two
AI-enabled techniques for detecting malware in Windows and Android operating
system, respectively. Both the techniques achieved perfect accuracy in
detecting various malware families.