A random forest model with genetic-algorithm hyperparameter tuning reports high accuracy on three public botnet datasets, but the evaluation relies on imbalanced accuracy and lacks independent validation.
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Flow-based Detection of Botnets through Bio-inspired Optimisation of Machine Learning
A random forest model with genetic-algorithm hyperparameter tuning reports high accuracy on three public botnet datasets, but the evaluation relies on imbalanced accuracy and lacks independent validation.