FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]
Patel A +3 more
europepmc +1 more source
Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]
Hanif M +5 more
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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
Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]
Tanveer MU +5 more
europepmc +1 more source
Hierarchical malware detection, family identification, and variant attribution using CNN-based hybrid models on grayscale executable images. [PDF]
Saxena M, Das T.
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
Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Maghanaki M +3 more
europepmc +1 more source
GCSA-ResNet: a deep neural network architecture for Malware detection. [PDF]
Fan Y +5 more
europepmc +1 more source
MALITE: Lightweight Malware Detection and Classification for Constrained Devices. [PDF]
Anand S +5 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

