Trust prediction based on grey exponential smoothing method in VANETs

Zhang, Sanshun and Li, Li and Xia, Hui and Zhang, Rui and Li, Ye (2019) Trust prediction based on grey exponential smoothing method in VANETs. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: vehicular ad hoc network; trust prediction; grey model; routing protocol
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 10 Sep 2020 08:53
Last Modified: 10 Sep 2020 08:53
URI: https://eprints.eudl.eu/id/eprint/152

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