Results 91 to 100 of about 36,905 (167)

BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]

Sci Rep
Mishra S, Alfahidah RA, Alharbi F.
europepmc   +1 more source

Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]

Sci Rep
Anuradha A, Chouhan AS, Srinivas Rao S.
europepmc   +1 more source

A bio inspired hybrid optimization framework for efficient real time malware detection. [PDF]

Sci Rep
Abualhaj MM, Al-Mimi H, Al-Zyoud M, Al-Khatib SN, Daoud MS, Al-Aqrabi H, Anbar M, Shalaldeh A.   +7 more
europepmc   +1 more source

A distributed framework for zero-day malware detection using federated ensemble models. [PDF]

PLoS One
Ishfaq H, Shah JH, Saleem R, Afzal M.
europepmc   +1 more source

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
europepmc   +1 more source

Metadata driven malicious URL detection using RoBERTa large and multi source network threat intelligence. [PDF]

Sci Rep
Chen L, Meng L.
europepmc   +1 more source

DEFEAT: Android device behavior-based datasets for multi-stage APT. [PDF]

Data Brief
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]

Sci Data
Bragança H, Kreutz D, Rocha V, Assolin J, Feitosa E.   +4 more
europepmc   +1 more source

Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]

Sensors (Basel)
Moila RL, Velempini M.
europepmc   +1 more source

MaSS-Droid: Android Malware Detection Framework Using Multi-Layer Feature Screening and Stacking Integration. [PDF]

Entropy (Basel)
Zhang Z, Han Q, Shi Z.
europepmc   +1 more source