  In this paper, we tackle the issue of moral hazard within the realm of the
vehicular Metaverse. A pivotal facilitator of the vehicular Metaverse is the
effective orchestration of its market elements, primarily comprised of sensing
internet of things (SIoT) devices. These SIoT devices play a critical role by
furnishing the virtual service provider (VSP) with real-time sensing data,
allowing for the faithful replication of the physical environment within the
virtual realm. However, SIoT devices with intentional misbehavior can identify
a loophole in the system post-payment and proceeds to deliver falsified
content, which cause the whole vehicular Metaverse to collapse. To combat this
significant problem, we propose an incentive mechanism centered around a
reputation-based strategy. Specifically, the concept involves maintaining
reputation scores for participants based on their interactions with the VSP.
These scores are derived from feedback received by the VSP from Metaverse users
regarding the content delivered by the VSP and are managed using a subjective
logic model. Nevertheless, to prevent ``good" SIoT devices with false positive
ratings to leave the Metaverse market, we build a vanishing-like system of
previous ratings so that the VSP can make informed decisions based on the most
recent and accurate data available. Finally, we validate our proposed model
through extensive simulations. Our primary results show that our mechanism can
efficiently prevent malicious devices from starting their poisoning attacks. At
the same time, trustworthy SIoT devices that had a previous miss-classification
are not banned from the market.
