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F. Moyano, C. Fernandez-Gago, and J. Lopez, "A Conceptual Framework for Trust Models",
9th International Conference on Trust, Privacy & Security in Digital Business (TrustBus 2012), S. Fischer-Hübner, S. Katsikas, and G. Quirchmayr Eds., LNCS 7449, Springer Verlag, pp. 93-104, Sep 2012. DOI More..


During the last twenty years, a huge amount of trust and reputation models have been proposed, each of them with their own particularities and targeting different domains. While much effort has been made in defining ever-increasing complex models, little attention has been paid to abstract away the particularities of these models into a common set of easily understandable concepts. We propose a conceptual framework for computational trust models that will be used for analyzing their features and for comparing heterogeneous and relevant trust models.

PDF icon moyano2012trustbus.pdf (470.63 KB)
I. Agudo, C. Fernandez-Gago, and J. Lopez, "Concurrent access control for multi-user and multi-processor systems based on trust relationships",
Concurrency and Computation: Practice and Experience, vol. 21, John Wiley & Sons, pp. 1389-1403, July, 2009. DOI (I.F.: 1.004)More..


Concurrent access control is an old problem in many fields in Computer Science. It has been solved in many languages and systems, using mechanisms like monitors or priority queues. Nowadays computers implement multi-core capabilities. This means that they are virtually capable of execution of processes in parallel. This requires new techniques and open new issues in the field of concurrent access control. Moreover, most operating systems are multi-user; thus, we have to focus on a multi-processor multi-user scenario. Trust becomes a paramount aspect when building distributed applications; the same applies on a lower scale in modern computers. We propose the use of a trust graph that keeps record of the trust relationships of the system and helps in deciding on concurrent access requests. The information encoded in the graph will be used both in order to decide on the access requests and to order granted requests in terms of their associated trust level

Impact Factor: 1.004
Journal Citation Reports® Science Edition (Thomson Reuters, 2009)

PDF icon Agudo2009.pdf (180.3 KB)
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