Towards a Self-adaptive Trust Management Model for VANETs

Ilhem Souissi, Nadia Ben Azzouna, Tahar Berradia

2017

Abstract

The vehicular ad hoc networks (VANETs) aim basically to enhance the traffic safety performance, improve the traffic efficiency and achieve a comfortable driving experience. To reach these purposes, it is crucial to ensure the security of this network. Trust is one of the key challenges for VANET security enhancement. Trust management aims to investigate the relationship between the different entities in the network in order to ensure that only trustworthy messages are delivered to drivers. Solutions for trust evaluation are not self-adaptively adjusted to discriminate between the requirements of each class of applications. Moreover, most of these solutions stand on the reputation to determine the trustworthiness of vehicles. However, reputation is not well-suited in VANET due to the absence of social connections between fast moving and distributed entities. In this paper, we present a self-adaptive trust management model that copes with the specifications of each class of applications in a different way in order to enhance the decision-making process, minimize both time and energy consumption for decision-making and improve the network’s security. In addition to reputation, similarity and behavior assessment, our model uses the correlation between the event and contextual information and further the risk assessment for decision-making.

Paper Citation

in Harvard Style

Souissi I., Ben Azzouna N. and Berradia T. (2017). Towards a Self-adaptive Trust Management Model for VANETs . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 513-518. DOI: 10.5220/0006463305130518

in Bibtex Style

@conference{secrypt17,
author={Ilhem Souissi and Nadia Ben Azzouna and Tahar Berradia},
title={Towards a Self-adaptive Trust Management Model for VANETs},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={513-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006463305130518},
isbn={978-989-758-259-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - Towards a Self-adaptive Trust Management Model for VANETs
SN - 978-989-758-259-2
AU - Souissi I.
AU - Ben Azzouna N.
AU - Berradia T.
PY - 2017
SP - 513
EP - 518
DO - 10.5220/0006463305130518