This research focuses on trustworthiness assessment and trust judgment in a complex system such as a distributed sensing system. In our previous IMECE paper, we employed an interdisciplinary approach to highlight trustworthiness characteristics and trust measurements in social sciences and cyberspace. In this paper, we elaborate on these findings and present features of existing models we can leverage in different applications. Trust properties and rules reported in this study are extracted from three classes of trust models that met our design constraints. These models are gleaned from the literature pertaining to wireless sensor networks, social networks, e-commerce, mobile ad-hoc, peer-to-peer, and distributed network services. The trust model provides upfront quantitative assurance and trustworthiness metrics for architecting/engineering new systems as well as a situation awareness/management assessment metrics once the system is deployed.

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