Research Article
Trust prediction based on grey exponential smoothing method in VANETs
@INPROCEEDINGS{10.4108/eai.29-6-2019.2282065, author={Sanshun Zhang and Li Li and Hui Xia and Rui Zhang and Ye Li}, title={Trust prediction based on grey exponential smoothing method in VANETs}, proceedings={12th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2019, 29th - 30th Jun 2019, Weihai, China}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2019}, month={6}, keywords={vehicular ad hoc network; trust prediction; grey model; routing protocol}, doi={10.4108/eai.29-6-2019.2282065} }- Sanshun Zhang
Li Li
Hui Xia
Rui Zhang
Ye Li
Year: 2019
Trust prediction based on grey exponential smoothing method in VANETs
MOBIMEDIA
EAI
DOI: 10.4108/eai.29-6-2019.2282065
Abstract
In vehicular ad hoc networks (i.e., VANETs), normal communications between vehicles are vulnerable to attacks from malicious vehicles. Trust-based solution is a feasible method to solve the routing security problem. In this paper, a trust prediction model based on grey exponential smoothing method is proposed by combining the grey model, the exponential smoothing prediction method and the golden section search method. A multicast routing protocol based on the grey exponential smoothing trust prediction model, named ESGM-ODMRP, is presented to verify the validity of this new method. In the experiments, the evaluation of four routing metrics (i.e., packet delivery ratio, overhead, average latency and byte sent per byte delievered) prove that our protocol performs better in identifying malicious vehicles and establishing secure routes.
