%0 Generic
%A Quercia, D.
%A Hailes, S.
%A Capra, L.
%C Berlin / Heidelberg, Germany
%D 2006
%F discovery:4884
%I Springer Verlag
%N Volume
%P 298-312
%T B-Trust: Bayesian trust framework for pervasive computing
%U https://discovery.ucl.ac.uk/id/eprint/4884/
%X 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.
%Z The original publication is available at www.springerlink.com