Results 161 to 170 of about 134,256 (265)

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

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

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

Reassessing feature-based Android malware detection in a contemporary context. [PDF]

PLoS One
Muzaffar A, Ragab Hassen H, Zantout H, Lones MA.   +3 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

Detecção de Malwares Android: Levantamento Empırico da Disponibilidade e da Atualização das Fontes de Dados

, 2022
Tainá Soares, Joner Mello, Lucas Barcellos, Renato Sayyed, Guilherme Siqueira, Karina Casola, Estevão Costa, Nicolas Neves, Eduardo Feitosa, Diego Kreutz   +9 more
openalex   +1 more source

FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]

Sci Rep
Patel A, Tomar DS, Pateriya RK, Haripriya R.   +3 more
europepmc   +1 more source

A dataset of windows malware execution traces. [PDF]

Data Brief
Raducu R, Villagrasa-Labrador A, Rodríguez RJ, Álvarez P.   +3 more
europepmc   +1 more source

Análise Comportamental e Técnicas de Detecção do Lumma Stealer: Um Estudo sobre a Resiliência de Malware-as-a-Service Pós-Takedown

cybersysbr Fagner Mendes Leite de Oliveira
openalex   +1 more source