Results 91 to 100 of about 1,517 (174)

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

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

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

A Contrastive Dual-Task Framework for Few-Shot Traffic Classification in IoT Networks. [PDF]

Sensors (Basel)
Lu Z, Chen M, Cui S, Zhao B, Zheng Y.
europepmc   +1 more source

GCSA-ResNet: a deep neural network architecture for Malware detection. [PDF]

Sci Rep
Fan Y, Zhang K, Zheng B, Zhou Y, Zhou J, Pan W.   +5 more
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

Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]

Sci Rep
Tanveer MU, Munir K, Alyamani HJ, Hassan SR, Sheraz M, Chuah TC.   +5 more
europepmc   +1 more source

An integrated evolution-aware meta-learning framework with adversarial morphological augmentation for zero-day threat detections. [PDF]

Front Artif Intell
Lanka K, Shaik K.
europepmc   +1 more source

Dynamics of botnet propagation model in complex networks considering hybrid method for botnet detection. [PDF]

PLoS One
Maazalahi M, Hosseini S.
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