Open AccessStudy on the Computational Trust and Its Model
Author(s) -
Qingnian Wang,
Wenqian Hong,
Chuling Huang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012136
Subject(s) - trustworthiness , blockchain , work (physics) , block (permutation group theory) , productivity , computer science , business , computer security , internet privacy , engineering , economics , economic growth , mechanical engineering , geometry , mathematics
The application of block chain technology has greatly improved our digital ability in work and daily life. By fostering greater trust, blockchain technology has not only increased productivity, but is sure to reshape the relationship between individuals and businesses, leading us toward a true digital economy. For hundreds of millions of people and tens of billions of smart devices, this could mean hundreds of billions of smart contracts running autonomously and significantly enhancing global synergies. This paper aims to explore the computational trust model to demonstrate how the trust be computationalised. By building a global blockchain infrastructure, we are spreading trust, and computational trust will be a ubiquitous part of our society. As more businesses and individuals join in, more people will benefit from this new technology, and the future of human society will become more inclusive, transparent, and trustworthy.