Abstract
The significant growth of information and communication technologies (ICTs) in Industry 4.0 and Society 5.0 produces exceptional advantages under increasing cybersecurity threats. As a fundamental variable, trust plays a critical role at different levels in every user communication in the bright internet environment, which has brought significant attention by researchers in diverse disciplines. Notwithstanding, many studies have been shown that modeling trust is still a complex, open, and unachieved question in the context of bright internet. An essential characteristic of trust that has not been studied is that trust can catastrophically collapse to distrust each stage of its evolution among users. Trust modeling mainly deals with evaluating trust relations in computational models, and trust management is employed to illustrate how to obtain confirmation and assess risk. This research mainly focuses on trust modeling using stochastic modeling, incorporating its chaotic features between two users. Our novel stochastic trust model would be integrated with trust inference and decision making in trust management systems. Moreover, we provide sample patterns for joint and triplicate trust relationships in the buyer-seller supply chain or communication networks.
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