Using G Features to Improve the Efficiency of Function Call Graph Based Android Malware Detection

摘要

In this paper, we proposed a G features based Android malware detecting scheme with information of Function Call Graph. The experimental results showed that our G features based detecting scheme obtained a high detecting performance in up-to-date malware testing dataset. Besides, the collapsing issue induced by the high-dimension vectors of traditional Function Call Graph detection can also be avoided with our methods.