Trust-Based IoT Participatory Sensing for Hazard Detection and Response

The physical world can be monitored by ubiquitous Internet of Things (IoT) devices through participatory sensing by which a huge amount of data is collected and analyzed in the cloud for hazard detection and response. In this paper, we propose a Trust as a Service (TaaS) cloud utility leveraging a cloud hierarchy for assessing service trustworthiness of IoT devices so as filter out untrustworthy sensing data before hazard detection and response are taken. We demonstrate that our TaaS utility achieves accuracy, convergence, and resiliency compared with contemporary IoT/P2P distributed trust protocols while achieving scalability to cope with a huge number of IoT devices. We demonstrate the feasibility with an air pollution detection and response application.