FT-Transformer outperforms kNN, Random Forest, MLP, and TabTransformer on most OS fingerprinting tasks across three public datasets, though the reported gains are weakened by pre-split SMOTE resampling.
Passive os fingerprinting methods in the jungle of wireless networks,
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Application of Tabular Transformer Architectures for Operating System Fingerprinting
FT-Transformer outperforms kNN, Random Forest, MLP, and TabTransformer on most OS fingerprinting tasks across three public datasets, though the reported gains are weakened by pre-split SMOTE resampling.