A digit-level causal language model for network flows reports 100% macro-F1 under extreme class imbalance and 0.84 one-shot F1 on CICIDS2017.
Optimization of ids using filter-based feature selection and machine learning algorithms
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Take Package as Language: Anomaly Detection Using Transformer
A digit-level causal language model for network flows reports 100% macro-F1 under extreme class imbalance and 0.84 one-shot F1 on CICIDS2017.