Ananbeh, O., & Alnozami, W. (2026). Transformer-based deep learning framework for malware detection in Linux environments using structured process-level features. Journal of Computer Virology & Hacking Techniques, 22(1), 1. https://doi.org/10.1007/s11416-026-00629-w
Chicago Style (17th ed.) CitationAnanbeh, Obieda, and Wala Alnozami. "Transformer-based Deep Learning Framework for Malware Detection in Linux Environments Using Structured Process-level Features." Journal of Computer Virology & Hacking Techniques 22, no. 1 (2026): 1. https://doi.org/10.1007/s11416-026-00629-w.
MLA (9th ed.) CitationAnanbeh, Obieda, and Wala Alnozami. "Transformer-based Deep Learning Framework for Malware Detection in Linux Environments Using Structured Process-level Features." Journal of Computer Virology & Hacking Techniques, vol. 22, no. 1, 2026, p. 1, https://doi.org/10.1007/s11416-026-00629-w.