Results 101 to 110 of about 10,938 (187)

Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]

Sci Rep
Saeed NH, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Visualization of Malware Behavior

, 2009
openaire   +2 more sources

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

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

Malware Multi-Class Classification based on Malware Visualization using a Convolutional Neural Network Model

International Journal of Information Engineering and Electronic Business, 2023
Balram Yadav, Sanjiv Tokekar
openaire   +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

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

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