Vehicle Network Node Behavior Classification based on Optimized Bayesian Classifier

Jijin Wang, Xiaoqiang Xiao, Peng Lu

2019

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 direction of more security and stability of VANET field.

Paper Citation

in Harvard Style

Wang J., Xiao X. and Lu P. (2019). Vehicle Network Node Behavior Classification based on Optimized Bayesian Classifier.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 5-9. DOI: 10.5220/0008386200050009

in Bibtex Style

@conference{icvmee19,
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 - Volume 1: ICVMEE,},
year={2019},
pages={5-9},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008386200050009},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Vehicle Network Node Behavior Classification based on Optimized Bayesian Classifier
SN - 978-989-758-412-1
AU - Wang J.
AU - Xiao X.
AU - Lu P.
PY - 2019
SP - 5
EP - 9
DO - 10.5220/0008386200050009