Android malware detection method based on graph attention networks and deep fusion of multimodal features

Shaojie Chen, Bo Lang, Hongyu Liu, Yikai Chen, Yucai Song

Abstract: Highlights•Proposing multimodal features deep fusion method for Android malware detection.•Designing class-set call graph to integrates structural and semantic features.•Adaptive class merging method for class-set call graph construction.•Introducing GAT and max pooling to extract salient graph features.•Proposing fusion network for graph features and permission features.