Trustworthiness assessment of wireless sensor data for business applications

Nowadays, wireless sensor networks appear to be mature enough to be used by business applications. These applications rely on trustworthy sensor data to control business processes. In this paper, we propose an approach to assess the trustworthiness of sensor data during their lifecycle, from acquisition at the nodes, through processing, to delivery to business applications. We rely on the subjective logic framework to compute the probability that sensor data are trustworthy enough to be used by applications. With the definition of new operators for subjective logic, we develop a trust model, that allows to detect erroneous sensor data which are originated either unintentionally due to defective sensor nodes or intentionally by attackers.