Naseer, M.; Ullah, F.; Ijaz, S.; Naeem, H.; Alsirhani, A.; Alwakid, G.N.; Alomari, A.
Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data. Sensors 2025, 25, 202.
https://doi.org/10.3390/s25010202
AMA Style
Naseer M, Ullah F, Ijaz S, Naeem H, Alsirhani A, Alwakid GN, Alomari A.
Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data. Sensors. 2025; 25(1):202.
https://doi.org/10.3390/s25010202
Chicago/Turabian Style
Naseer, Mehwish, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, and Abdullah Alomari.
2025. "Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data" Sensors 25, no. 1: 202.
https://doi.org/10.3390/s25010202
APA Style
Naseer, M., Ullah, F., Ijaz, S., Naeem, H., Alsirhani, A., Alwakid, G. N., & Alomari, A.
(2025). Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data. Sensors, 25(1), 202.
https://doi.org/10.3390/s25010202