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Distributed Approximation of Fixed-Points in Trust Structures
Columbus, Ohio, USA June 06-June 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCS.2005.2325th IEEE International Conference on ...
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Karl Krukow, University of Aarhus
Andrew Twigg, University of Cambridge

We consider distributed algorithms for solving a range of problems in a framework for trust in large-scale distributed systems. The framework is based on the notion of trust structures; a set of ?trust-levels? with two distinct partial orderings. In the trust model, a global trust-state is defined as the least fixed-point of a collection of local policies of nodes in the network.

We show that it is possible to compute the global trust-state using a simple, robust and totally asynchronous distributed-algorithm. We also consider a distributed notion of proof-carrying-requests as a means of approximating the least fixed-point, enabling sound reasoning about the global trust-state without computing the exact fixed-point. Our proof-carrying-request model is different than the notion of proof-of-compliance from traditional trust-management; in particular, all proofs are efficiently verifiable or easily rejected, but, in the worst case, may require as much communication as computing the actual trust-state itself.

Citation:
Karl Krukow, Andrew Twigg, "Distributed Approximation of Fixed-Points in Trust Structures," icdcs, pp.805-814, 25th IEEE International Conference on Distributed Computing Systems (ICDCS'05), 2005
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