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
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
Metadata driven malicious URL detection using RoBERTa large and multi source network threat intelligence. [PDF]
Chen L, Meng L.
europepmc +1 more source
A bio inspired hybrid optimization framework for efficient real time malware detection. [PDF]
Abualhaj MM +7 more
europepmc +1 more source
AI-Driven Cybersecurity in IoT: Adaptive Malware Detection and Lightweight Encryption via TRIM-SEC Framework. [PDF]
Mutambik I.
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
JDroid: Android malware detection using hybrid opcode feature vector. [PDF]
Arslan RS.
europepmc +1 more source
Reassessing feature-based Android malware detection in a contemporary context. [PDF]
Muzaffar A +3 more
europepmc +1 more source
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Moila RL, Velempini M.
europepmc +1 more source
Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU. [PDF]
Kauser Sk H, Anu V M.
europepmc +1 more source

