An IoT Malware Detection Framework Based on Large Language Models and Deep Learning Techniques
Rapid growth in IoT devices has led to the creation of crucial cybersecurity threats since existing methods of malware detection which use signature matching and numerical feature analysis are incapable of capturing the contextual behavioral semantics of IoT attacks. The presented work proposes an innovative malware de...