A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]
Abed Alsaedi S +6 more
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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
Evolving trends in cryptomining malware: a systematic literature review. [PDF]
Mauko E, Rubini S, Igwe C.
europepmc +1 more source
Enhancing internet of things intrusion detection through high-performance boosting ensemble learning. [PDF]
Yakovyna V, Fadieiev A.
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
DEFEAT: Android device behavior-based datasets for multi-stage APT. [PDF]
Jabar T, Al-Kadhimi AA, Singh MM.
europepmc +1 more source
MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]
Bragança H +4 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
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
Reassessing feature-based Android malware detection in a contemporary context. [PDF]
Muzaffar A +3 more
europepmc +1 more source

