Quercia, D.;
Hailes, S.;
Capra, L.;
(2006)
B-Trust: Bayesian trust framework for pervasive computing.
In:
Trust Management: Proceedings of the 4th International Conference, iTrust 2006.
(pp. pp. 298-312).
Springer Verlag: Berlin / Heidelberg, Germany.
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Abstract
Without trust, pervasive devices cannot collaborate effectively, and without collaboration, the pervasive computing vision cannot be made a reality. Distributed trust frameworks may support trust and thus foster collaboration in an hostile pervasive computing environment. Existing frameworks deal with foundational properties of computational trust. We here propose a distributed trust framework that satisfies a broader range of properties. Our framework: (i) evolves trust based on a Bayesian formalization, whose trust metric is expressive, yet tractable; (ii) is lightweight; (iii) protects user anonymity, whilst being resistant to “Sybil attacks” (and enhancing detection of two collusion attacks); (iv) integrates a risk-aware decision module. We evaluate the framework through four experiments.
| Type: | Proceedings paper |
|---|---|
| Title: | B-Trust: Bayesian trust framework for pervasive computing |
| ISBN: | 3540342953 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/11755593_22 |
| Publisher version: | http://dx.doi.org/doi:10.1007/11755593_22 |
| Language: | English |
| Additional information: | The original publication is available at www.springerlink.com |
| URI: | https://discovery.ucl.ac.uk/id/eprint/4884 |
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