  Trust management is an important security approach for the successful
implementation of Vehicular Ad Hoc Networks (VANETs). Trust models evaluate
messages to assign reward or punishment. This can be used to influence a
driver's future behaviour. In the author's previous work, a sender side based
trust management framework is developed which avoids the receiver evaluation of
messages. However, this does not guarantee that a trusted driver will not lie.
These "untrue attacks" are resolved by the RSUs using collaboration to rule on
a dispute, providing a fixed amount of reward and punishment. The lack of
sophistication is addressed in this paper with a novel fuzzy RSU controller
considering the severity of incident, driver past behaviour, and RSU confidence
to determine the reward or punishment for the conflicted drivers. Although any
driver can lie in any situation, it is expected that trustworthy drivers are
more likely to remain so, and vice versa. This behaviour is captured in a
Markov chain model for sender and reporter drivers where their lying
characteristics depend on trust score and trust state. Each trust state defines
the driver's likelihood of lying using different probability distribution. An
extensive simulation is performed to evaluate the performance of the fuzzy
assessment and examine the Markov chain driver behaviour model with changing
the initial trust score of all or some drivers in Veins simulator. The fuzzy
and the fixed RSU assessment schemes are compared, and the result shows that
the fuzzy scheme can encourage drivers to improve their behaviour.
