The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Trust models in ubiquitous computing

Trust models in ubiquitous computing
Trust models in ubiquitous computing
We recapture some of the arguments for trust-based technologies in ubiquitous computing, followed by a brief survey of some of the models of trust that have been introduced in this respect. Based on this, we argue for the need of more formal and foundational trust models.
trust and reputation management, probabilistic modelling, science for ubiquitous computing
1364-503X
3781-3793
Krukow, Karl
63314b51-29ed-4efe-a46f-0668ca1e250d
Nielsen, Mogens
9d7d7c43-53d6-46bb-8b9c-b54c901349b7
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
Krukow, Karl
63314b51-29ed-4efe-a46f-0668ca1e250d
Nielsen, Mogens
9d7d7c43-53d6-46bb-8b9c-b54c901349b7
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7

Krukow, Karl, Nielsen, Mogens and Sassone, Vladimiro (2008) Trust models in ubiquitous computing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366 (1881), 3781-3793. (doi:10.1098/rsta.2008.0134).

Record type: Article

Abstract

We recapture some of the arguments for trust-based technologies in ubiquitous computing, followed by a brief survey of some of the models of trust that have been introduced in this respect. Based on this, we argue for the need of more formal and foundational trust models.

Text
rsUbiFinal.pdf - Version of Record
Download (169kB)

More information

e-pub ahead of print date: 4 August 2008
Published date: 28 October 2008
Keywords: trust and reputation management, probabilistic modelling, science for ubiquitous computing
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 268598
URI: http://eprints.soton.ac.uk/id/eprint/268598
DOI: doi:10.1098/rsta.2008.0134
ISSN: 1364-503X
PURE UUID: 24823c93-3d9d-4d8b-9819-9f62c44d526c
ORCID for Vladimiro Sassone: ORCID iD orcid.org/0000-0002-6432-1482

Catalogue record

Date deposited: 12 Mar 2010 11:57
Last modified: 10 Sep 2024 01:40

Export record

Altmetrics

Contributors

Author: Karl Krukow
Author: Mogens Nielsen
Author: Vladimiro Sassone ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×