Android Malware Detection System Classification
Mohd Zaki Mas`ud +4 more
openaire +1 more source
Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Saeed NH +3 more
europepmc +1 more source
Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]
Anuradha A, Chouhan AS, Srinivas Rao S.
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
FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]
Patel A +3 more
europepmc +1 more source
A distributed framework for zero-day malware detection using federated ensemble models. [PDF]
Ishfaq H, Shah JH, Saleem R, Afzal M.
europepmc +1 more source
Mobile malware detection method using improved GhostNetV2 with image enhancement technique. [PDF]
Du Y +5 more
europepmc +1 more source
Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]
Kirubavathi G +6 more
europepmc +1 more source
BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices. [PDF]
Şafak E +3 more
europepmc +1 more source
Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms. [PDF]
Alohali MA +7 more
europepmc +1 more source

