Tuning Random Forest with GridSearchCV on the BoTNeTIoT-L01 dataset produces 99.39% test accuracy, with no new detection method or reproducible pipeline.
Machine learning-based adaptive synthetic sampling technique for intrusion de- tection,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Optimized IoT Intrusion Detection using Machine Learning Technique
Tuning Random Forest with GridSearchCV on the BoTNeTIoT-L01 dataset produces 99.39% test accuracy, with no new detection method or reproducible pipeline.