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A Bayesian model for event-based trust

A Bayesian model for event-based trust
A Bayesian model for event-based trust
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternative currently being investigated is to support security decision-making by explicit representation of principals’ trusting relationships, i.e., via systems for computational trust. We focus here on systems where trust in a computational entity is interpreted as the expectation of certain future behaviour based on behavioural patterns of the past, and concern ourselves with the foundations of such probabilistic systems. In particular, we aim at establishing formal probabilistic models for computational trust and their fundamental properties. In the paper we define a mathematical measure for quantitatively comparing the effectiveness of probabilistic computational trust systems in various environments. Using it, we compare some of the systems from the computational trust literature; the comparison is derived formally, rather than obtained via experimental simulation as traditionally done. With this foundation in place, we formalise a general notion of information about past behaviour, based on event structures. This yields a flexible trust model where the probability of complex protocol outcomes can be assessed.
trust, bayesian analysis, learning, security, event structures, models for distributed systems
Elsevier
Nielsen, M.
d6a4a4bb-e50c-4cd3-9b70-b0e34cf59059
Krukow, K.
fcd8beaa-9872-4789-a28b-5b957dd97b64
Sassone, V.
df7d3c83-2aa0-4571-be94-9473b07b03e7
Cardelli, L.
Fiore, M.
Winskel, G.
Nielsen, M.
d6a4a4bb-e50c-4cd3-9b70-b0e34cf59059
Krukow, K.
fcd8beaa-9872-4789-a28b-5b957dd97b64
Sassone, V.
df7d3c83-2aa0-4571-be94-9473b07b03e7
Cardelli, L.
Fiore, M.
Winskel, G.

Nielsen, M., Krukow, K. and Sassone, V. (2007) A Bayesian model for event-based trust. In, Cardelli, L., Fiore, M. and Winskel, G. (eds.) Festschrift in hounour of Gordon Plotkin. Elsevier.

Record type: Book Section

Abstract

The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternative currently being investigated is to support security decision-making by explicit representation of principals’ trusting relationships, i.e., via systems for computational trust. We focus here on systems where trust in a computational entity is interpreted as the expectation of certain future behaviour based on behavioural patterns of the past, and concern ourselves with the foundations of such probabilistic systems. In particular, we aim at establishing formal probabilistic models for computational trust and their fundamental properties. In the paper we define a mathematical measure for quantitatively comparing the effectiveness of probabilistic computational trust systems in various environments. Using it, we compare some of the systems from the computational trust literature; the comparison is derived formally, rather than obtained via experimental simulation as traditionally done. With this foundation in place, we formalise a general notion of information about past behaviour, based on event structures. This yields a flexible trust model where the probability of complex protocol outcomes can be assessed.

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Published date: 2007
Additional Information: Electronic Notes in Theoretical Computer Science
Keywords: trust, bayesian analysis, learning, security, event structures, models for distributed systems
Organisations: Web & Internet Science

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Local EPrints ID: 263656
URI: http://eprints.soton.ac.uk/id/eprint/263656
PURE UUID: cea61116-b89d-4177-bd17-f4d39d79e41e

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Date deposited: 05 Mar 2007
Last modified: 09 Dec 2019 20:13

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