NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles

Internet-of-Vehicles (IoV) is a novel technology to
ensure safe and secure transportation by enabling smart vehicles
to communicate and share sensitive information with each other.
However, the realization of IoV in real-life depends on several
factors, including the assurance of security from attackers
and propagation of authentic, accurate and trusted information
within the network. Further, the dissemination of compromised
information must be detected and vehicle disseminating such
malicious messages must be revoked from the network. To this
end, trust can be integrated within the network to detect the
trustworthiness of the received information. However, most of
the trust models in the literature relies on evaluating node
or data at the application layer. In this study, we propose a
novel hybrid trust management scheme, namely, NOTRINO,
which evaluates trustworthiness on the received information
in two steps. First step evaluates trust on the node itself at
transport layer, while second step computes trustworthiness
of the data at application layer. This mechanism enables the
vehicles to efficiently model and evaluate the trustworthiness
on the received information. The performance and accuracy of
NOTRINO is rigorously evaluated under various realistic trust
evaluation criteria (including precision, recall, F-measure and
trust). Furthermore, the efficiency of NOTRINO is evaluated in
presence of malicious nodes and its performance is benchmarked
against three hybrid trust models. Extensive simulations indicate
that NOTRINO achieve over 75% trust level as compared to
benchmarked trust models where trust level falls below 60% for
a network with 35% malicious nodes. Similarly, 92% precision
and 87% recall are achieved simultaneously with NOTRINO for
the same network, comparing to benchmark trust models where
precision and recall falls below 87% and 85% respectively.

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