Multi-Use Trust in Crowdsourced IoT Services

We introduce the concept of
adaptive trust
in crowdsourced IoT services. It is a customized fine-grained trust tailored for specific IoT consumers.
Usage patterns
of IoT consumers are exploited to provide an accurate trust value for service providers. A novel
adaptive trust management framework
is proposed to assess the dynamic trust of IoT services. The framework leverages a novel detection algorithm to obtain
trust indicators
that are likely to influence the trust level of a specific IoT service type. Detected trust indicators are then used to build
service-to-indicator
model to evaluate a service’s
trust at each indicator
. Similarly, a
usage-to-indicator
model is built to obtain the
importance of each trust indicator
for a particular usage scenario. The per-indicator trust and the importance of each trust indicator are utilized to obtain an overall value of a given service for a specific consumer. We conduct a set of experiments on a real dataset to show the effectiveness of the proposed framework.