MalBERT-Temporal: Transformer-Based Zero-Day Malware Detection in Windows Executable Binaries Under Strict Temporal Isolation
A Transformer-based malware detection approach named MalBERT-Temporal that reshapes the 2,381-dimensional BODMAS PE feature vector into 16 contiguous feature-group tokens and then processes these tokens with Transformer encoder layers employing multi-head self-attention to model interactions among all tokens is introdu...