A multi-level study of information trust models in WSN-assisted IoT

The Internet of Things (IoT) comprises heterogeneous and interconnected objects. It tries to provide information anytime, anywhere and for anything. The IoT incorporates a variety of technologies, mainly the Wireless Sensor Networks (WSNs). In such networks, sensors are deployed in an open and unprotected environment. Their role is essentially to supervise the environment and report real life phenomena. Only trusted and accurate data should be exchanged between sensors and transmitted to the fusion node which will take charge of the extraction of reliable information. To reach this purpose, we propose that trust should be established at three levels. In this paper, we provide a survey on recent advances in data perception trust (trust in the raw sensed data), communication trust (trust relationship between sensors) and data fusion trust (trust in the fusion process). Moreover, we investigate the existing research to identify their challenges and to suggest future research prospects. (C) 2019 Elsevier B.V. All rights reserved.