Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers. [PDF]
Atacak İ, Kılıç K, Doğru İA.
europepmc +1 more source
Reassessing feature-based Android malware detection in a contemporary context. [PDF]
Muzaffar A +3 more
europepmc +1 more source
A Hybrid Analysis-Based Approach to Android Malware Family Classification. [PDF]
Ding C, Luktarhan N, Lu B, Zhang W.
europepmc +1 more source
MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]
Bragança H +4 more
europepmc +1 more source
Beyond the virus: a first look at coronavirus-themed Android malware. [PDF]
Wang L +10 more
europepmc +1 more source
Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]
Tanveer MU +5 more
europepmc +1 more source
MaSS-Droid: Android Malware Detection Framework Using Multi-Layer Feature Screening and Stacking Integration. [PDF]
Zhang Z, Han Q, Shi Z.
europepmc +1 more source
Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer. [PDF]
Elkabbash ET +3 more
europepmc +1 more source
JDroid: Android malware detection using hybrid opcode feature vector. [PDF]
Arslan RS.
europepmc +1 more source
GSIDroid: A Suspicious Subgraph-Driven and Interpretable Android Malware Detection System. [PDF]
Huang H, Huang W, Jiang F.
europepmc +1 more source

