Droid-Sec
Droid-Sec
Zhenlong Yuan,Yongqiang Lu,Zhaoguo Wang,Yibo Xue
2014 · DOI: 10.1145/2740070.2631434
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication · 262 Citations
TLDR
A ML-based method that utilizes more than 200 features extracted from both static analysis and dynamic analysis of Android app for malware detection demonstrates that the deep learning technique is especially suitable for Android malware detection and can achieve a high level of 96% accuracy with real-world Android application sets.