Towards a Formal Framework for Computational Trust
Towards a Formal Framework for Computational Trust
We define a mathematical measure for the quantitative comparison of probabilistic computational trust systems, and use it to compare a well-known class of algorithms based on the so-called beta model. The main novelty is that our approach is formal, rather than based on experimental simulation.
trust, bayesian analysis, learning, security, models for distributed systems
175-184
Sassone, V.
df7d3c83-2aa0-4571-be94-9473b07b03e7
Nielsen, M.
d6a4a4bb-e50c-4cd3-9b70-b0e34cf59059
Krukow, K.
fcd8beaa-9872-4789-a28b-5b957dd97b64
de Boer, F.S.
4895ac22-4e16-40b9-b345-b91e07233b26
2007
Sassone, V.
df7d3c83-2aa0-4571-be94-9473b07b03e7
Nielsen, M.
d6a4a4bb-e50c-4cd3-9b70-b0e34cf59059
Krukow, K.
fcd8beaa-9872-4789-a28b-5b957dd97b64
de Boer, F.S.
4895ac22-4e16-40b9-b345-b91e07233b26
Sassone, V., Nielsen, M. and Krukow, K.
,
de Boer, F.S.
(ed.)
(2007)
Towards a Formal Framework for Computational Trust.
Formal Methods for Components and Objects, LNCS 4, .
Abstract
We define a mathematical measure for the quantitative comparison of probabilistic computational trust systems, and use it to compare a well-known class of algorithms based on the so-called beta model. The main novelty is that our approach is formal, rather than based on experimental simulation.
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Published date: 2007
Additional Information:
Electronic Notes in Theoretical Computer Science
Keywords:
trust, bayesian analysis, learning, security, models for distributed systems
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 264825
URI: http://eprints.soton.ac.uk/id/eprint/264825
PURE UUID: 4bdaedf2-96e9-4476-82b4-1d74fb4095eb
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Date deposited: 14 Nov 2007 01:30
Last modified: 14 Mar 2024 07:57
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Contributors
Author:
V. Sassone
Author:
M. Nielsen
Author:
K. Krukow
Editor:
F.S. de Boer
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