Fig 1.
Communications in VANET [8].
Fig 2.
Proposed architecture.
Table 1.
Simulation Parameters used in VeReMi dataset.
Fig 3.
Data extraction of Ground truth file and Log files [13].
Fig 4.
Proposed methodology.
Table 2.
Attack types and their description.
Fig 5.
Distribution of VeReMi datasets using box-plot for spd-x1.
Table 3.
Normalized feature importance score for KNN+bagging across attack types.
Table 4.
Comparative Analysis of Bagging-Enhanced Classification Models.
Fig 6.
Accuracy result using Decision Tree with Bagging.
Fig 7.
Decision Tree with bagging performance for attack type 16.
Fig 8.
Accuracy result using Random Forest Classifier with Bagging.
Fig 9.
Random Forest with bagging performance for attack type 16.
Fig 10.
Accuracy result using KNN Classifier with Bagging.
Fig 11.
KNN Classifier with bagging performance for attack type 16.
Fig 12.
Accuracy result using MLP Classifier with Bagging.
Fig 13.
MLP Classifier with bagging performance for attack type 16.
Table 5.
Performance of different ensemble model vs Attack types.
Fig 14.
Comparisons of Accuracy of the ensemble model vs Attack types.
Table 6.
Performance of KNN with bagging in urban vs. highway scenarios.