Abstract
With the fast development of digital technologies, we are running into a digital world. The relationship among people and the connections among things become more and more complex, and new challenges arise. To tackle these challenges, trust - a soft security mechanism - is considered a promising technology. Thus, in this survey, we do a comprehensive study on trust and trust modelling for the future digital world. We revisit the definitions and properties of trust, analyse the trust theories, and discuss their impact on digital trust modelling. We analyse the digital world and its corresponding environment where people, things, and infrastructure connect with each other. We detail the challenges that require trust in these digital scenarios. Under our analysis of trust and the digital world, we define different types of trust relationships and find out the factors that are needed to ensure a fully representative model. Next, to meet the challenges of digital trust modelling, comprehensive trust model evaluation criteria are proposed, and potential security and privacy issues of trust modelling are analysed. Finally, we provide a wide-ranging analysis of different methodologies, mathematical theories, and how they can be applied to trust modelling.
Highlights
The world of digital data and information transfer is growing
2) Based on the several types of trust and using our understanding of each digital environments, we propose sets of factors that can be used within the digital environment
People to thing trust crosses the divide between social and digital worlds; People trusters use social trust mechanisms to perceive trustee objects using only their characteristics presented within the digital world
Summary
Trust is understood and used differently in different fields. In the humanities, trust and society have long been of great interest. 2) DIRECT TRUST Trust values derived solely from truster’s individual opinions are represented by direct trust Such individual opinions are formulated from past experiences with the trustee which give information about their intentions and capabilities giving insight into their future actions. There may be one or more intermediate nodes in which a directed path can be formed, where each node provides a trust value for the node after it This path can become a chain of reliable recommenders that results in input on the trustee, for the truster. While methods of digital reputation may overlap with trust aggregation, rather than trust value inference, reputation is geared towards quantifying a node’s surrounding structure and standing in a network — the more qualitative aspects that influence general opinion.
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