Cross-Dataset Feature Discriminability in Static Malware Detection: A CVFR-Based Study Across Four Heterogeneous Benchmarks
Static malware detection with machine learning relies critically on which features are extracted from Portable Executable (PE) binaries. Most prior work evaluates feature selection on a single benchmark, leaving open whether features generalize across heterogeneous datasets. We investigate cross-dataset feature discrim...