Tuning Random Forest with GridSearchCV on the BoTNeTIoT-L01 dataset produces 99.39% test accuracy, with no new detection method or reproducible pipeline.
Hybrid deep learning-based intrusion detection system for RPL IoT networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CR 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 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.