Trust Metrics Based on a Trusted Network Element

In this paper we study and propose a trust model and trust metric composition models based on a trusted network element. Our proposed model, executed in a trusted network element, helps the user to make subjective decisions based on secure and trusted metric information presented in a userfriendly form. The composition models present two possible solutions of how to integrate trust constructs into quantitative measurements in order to provide readily available evidence to the trustor about trustee´s trustworthiness. The results show how to achieve 5% measurement error probability when detecting malicious actions and what kinds of 95% intervals of confidence the 5% measurement error probability will enable in different trust metric composition models. The presented trust metric is especifically designed for client-server and peer-to-peer communication scenarios over the Internet, such as Web browsing and/or content streaming.