An Enhanced Model for Machine Learning-Based DoS Detection in Vehicular Networks
Author:
Affiliation:
1. Université Gustave Eiffel,COSYS-ERENA Lab,Talence,France,33400
2. ETIS UMR8051, CY Cergy Paris University, ENSEA, CNRS,Cergy,France,F-95000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186376/10186354/10186390.pdf?arnumber=10186390
Reference42 articles.
1. Survey on Artificial Intelligence (AI) techniques for Vehicular Ad-hoc Networks (VANETs)
2. Effective Intrusion Detection System Using XGBoost
3. Jamming attack detection in a pair of RF communicating vehicles using unsupervised machine learning
4. A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU
5. Evaluation of Deep Learning in Detecting Unknown Network Attacks
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