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Fig 1.

Communications in VANET [8].

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Fig 2.

Proposed architecture.

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Table 1.

Simulation Parameters used in VeReMi dataset.

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Fig 3.

Data extraction of Ground truth file and Log files [13].

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Fig 4.

Proposed methodology.

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Table 2.

Attack types and their description.

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Fig 5.

Distribution of VeReMi datasets using box-plot for spd-x1.

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Table 3.

Normalized feature importance score for KNN+bagging across attack types.

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Table 4.

Comparative Analysis of Bagging-Enhanced Classification Models.

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Fig 6.

Accuracy result using Decision Tree with Bagging.

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Fig 7.

Decision Tree with bagging performance for attack type 16.

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Fig 8.

Accuracy result using Random Forest Classifier with Bagging.

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Fig 9.

Random Forest with bagging performance for attack type 16.

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Fig 10.

Accuracy result using KNN Classifier with Bagging.

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Fig 11.

KNN Classifier with bagging performance for attack type 16.

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Fig 12.

Accuracy result using MLP Classifier with Bagging.

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Fig 13.

MLP Classifier with bagging performance for attack type 16.

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Table 5.

Performance of different ensemble model vs Attack types.

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Fig 14.

Comparisons of Accuracy of the ensemble model vs Attack types.

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Table 6.

Performance of KNN with bagging in urban vs. highway scenarios.

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