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Authors: Jijin Wang ; Xiaoqiang Xiao and Peng Lu

Affiliation: College of Computer, National University of Defense Technology, Changsha 470001, China, China

Keyword(s): Bayesian Classification; Optimization; Trust Value; VANET; Behavior Classification.

Abstract: Vehicle Ad-hoc Network (VANET) is a special type of mobile Ad hoc network. It has a high-speed and dynamic topological structure, which is limited by single path planning and buildings, random density distribution of network nodes, intermittent interruption of wireless transmission, shadow effect and other obstacles. In VANET, trust value of vehicle nodes has always been a problem of special concern to researchers, and also a key problem in research field of VANET. Accurate calculation of trust value of vehicle nodes can reduce the damage of traffic order by malicious nodes and avoid traffic accidents due to the transmission of wrong information. Trust value of Nodes computation depends on the own behavior and experiences of vehicles, and also depends on detection of neighbor nodes. Suggested that the behavior of the vehicle in VANET can be accurately classified by Bayesian classifier, provides the accurate basis for the node trust value computation, promote to develop in the directi on of more security and stability of VANET field. (More)

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Paper citation in several formats:
Wang, J.; Xiao, X. and Lu, P. (2020). Vehicle Network Node Behavior Classification based on Optimized Bayesian Classifier. In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE, ISBN 978-989-758-412-1; ISSN 2184-741X, pages 5-9. DOI: 10.5220/0008386200050009

@conference{icvmee20,
author={Jijin Wang. and Xiaoqiang Xiao. and Peng Lu.},
title={Vehicle Network Node Behavior Classification based on Optimized Bayesian Classifier},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,},
year={2020},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008386200050009},
isbn={978-989-758-412-1},
issn={2184-741X},
}

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,
TI - Vehicle Network Node Behavior Classification based on Optimized Bayesian Classifier
SN - 978-989-758-412-1
IS - 2184-741X
AU - Wang, J.
AU - Xiao, X.
AU - Lu, P.
PY - 2020
SP - 5
EP - 9
DO - 10.5220/0008386200050009