Authors:
Ilhem Souissi
1
;
Nadia Ben Azzouna
1
and
Tahar Berradia
2
Affiliations:
1
Institut Superieur de Gestion de Tunis and Université de Tunis, Tunisia
;
2
Institut de Recherche en Systmes Electroniques Embarques (IRSEEM Lab) andESIGELEC, France
Keyword(s):
Self-adaptive, Trust Management, Decision-making, VANET.
Related
Ontology
Subjects/Areas/Topics:
Data and Application Security and Privacy
;
Information and Systems Security
;
Intrusion Detection & Prevention
;
Network Security
;
Trust Management and Reputation Systems
;
Wireless Network Security
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
application
s 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.
(More)