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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.