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A Personalized Framework for Trust Assessment

Record type: Conference or Workshop Item (Paper)

The number of computational trust models has been increasing quickly in recent years yet their applications for automating trust evaluation are still limited. The main obstacle is the difficulties in selecting a suitable trust model and adapting it for particular trust modeling requirements, which varies greatly due to the subjectivity of human trust. The Personalized Trust Framework (PTF) presented in this paper aims to address this problem by providing a mechanism for human users to capture their trust evaluation process in order for it to be replicated by computers. In more details, a user can specify how he selects a trust model based on information about the subject whose trustworthiness he needs to evaluate and how that trust model is configured. This trust evaluation process is then automated by the PTF making use of the trust models flexibly plugged into the PTF by the user. By so doing, the PTF enable users reuse and personalize existing trust models to suit their requirements without having to reprogram those models.

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Citation

Huynh, TD (2009) A Personalized Framework for Trust Assessment At ACM Symposium on Applied Computing - Trust, Reputation, Evidence and other Collaboration Know-how (TRECK) Track, United States. 6 pp, pp. 1302-1307.

More information

Published date: March 2009
Venue - Dates: ACM Symposium on Applied Computing - Trust, Reputation, Evidence and other Collaboration Know-how (TRECK) Track, United States, 2009-03-01
Keywords: trust, reputation, extensibility, framework
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 266866
URI: http://eprints.soton.ac.uk/id/eprint/266866
ISBN: 978-1-60558-166-8
PURE UUID: 832f701a-8eca-4853-88d5-4d3c27452984
ORCID for TD Huynh: ORCID iD orcid.org/0000-0003-4937-2473

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Date deposited: 06 Nov 2008 14:43
Last modified: 18 Jul 2017 07:11

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Contributors

Author: TD Huynh ORCID iD

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