MalXGraph-ViT: A Hybrid Transformer-graph Neural Network Framework with Explainable AI for Robust Malware Detection and Classification on Emerging Public Benchmarks
The exponential growth of malware variants, propelled by automated obfuscation, polymorphism, and AIassisted code generation, has rendered signature-based and heuristic detection ineffective.This paper proposes MalXGraph-ViT, a multi-stage framework integrating grayscale visual feature extraction, Global Context Vision...
C. Singh, Rahul G. Thakkar, Vo Nguyen et al.
· International Journal of Int... · 0 citations