A language for trust modelling

The computational trust paradigm supposes that it is possible to quantify trust relations that occur within some software systems. The paradigm covers a variety of trust systems, such as trust management systems, reputation systems and trust-based security systems. Different trust systems have diffe...

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Main Authors: Muller, Tim, Zhang, Jie, Liu, Yang
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:http://ceur-ws.org/Vol-1578/
https://hdl.handle.net/10356/136933
http://ceur-ws.org/Vol-1578/
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1369332020-02-06T02:50:52Z A language for trust modelling Muller, Tim Zhang, Jie Liu, Yang School of Computer Science and Engineering International Conference on Autonomous Agents and Multiagent Systems DRNTU::Engineering::Computer science and engineering Model Computational The computational trust paradigm supposes that it is possible to quantify trust relations that occur within some software systems. The paradigm covers a variety of trust systems, such as trust management systems, reputation systems and trust-based security systems. Different trust systems have different assumptions, and various trust models have been developed on top of these assumptions Typically, trust models are incomparable, or even mutually unintelligible; as a result their evaluation may be circular or biased. We propose a unified language to express the trust models and trust systems. Within the language, all trust models are comparable, and the problem of circularity or bias is mitigated. Moreover, given a complete set of assumptions in the language, a unique trust model is defined. Published version 2020-02-06T02:40:48Z 2020-02-06T02:40:48Z 2016 Conference Paper Muller, T., Zhang, J. & Liu, Y. (2016). A language for trust modelling. International Conference on Autonomous Agents and Multiagent Systems, pp 1-12. http://ceur-ws.org/Vol-1578/ https://hdl.handle.net/10356/136933 http://ceur-ws.org/Vol-1578/ en © 2016 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). All rights reserved. This paper was published in International Conference on Autonomous Agents and Multiagent Systems and is made available with permission of International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 12 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
Model
Computational
spellingShingle DRNTU::Engineering::Computer science and engineering
Model
Computational
Muller, Tim
Zhang, Jie
Liu, Yang
A language for trust modelling
description The computational trust paradigm supposes that it is possible to quantify trust relations that occur within some software systems. The paradigm covers a variety of trust systems, such as trust management systems, reputation systems and trust-based security systems. Different trust systems have different assumptions, and various trust models have been developed on top of these assumptions Typically, trust models are incomparable, or even mutually unintelligible; as a result their evaluation may be circular or biased. We propose a unified language to express the trust models and trust systems. Within the language, all trust models are comparable, and the problem of circularity or bias is mitigated. Moreover, given a complete set of assumptions in the language, a unique trust model is defined.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Muller, Tim
Zhang, Jie
Liu, Yang
format Conference or Workshop Item
author Muller, Tim
Zhang, Jie
Liu, Yang
author_sort Muller, Tim
title A language for trust modelling
title_short A language for trust modelling
title_full A language for trust modelling
title_fullStr A language for trust modelling
title_full_unstemmed A language for trust modelling
title_sort language for trust modelling
publishDate 2020
url http://ceur-ws.org/Vol-1578/
https://hdl.handle.net/10356/136933
http://ceur-ws.org/Vol-1578/
_version_ 1681041411821010944