By Dieter Gollmann (auth.), Ian Wakeman, Ehud Gudes, Christian Damsgaard Jensen, Jason Crampton (eds.)

ISBN-10: 3642221998

ISBN-13: 9783642221996

ISBN-10: 3642222005

ISBN-13: 9783642222009

This e-book constitutes the refereed court cases of the fifth IFIP WG 11.11 foreign convention, IFIPTM 2011, held in Copenhagen, Denmark, in June/July 2011.

The 14 revised complete papers and eight brief papers provided including the abstracts of four keynote talks have been rigorously reviewed and chosen from forty two submissions. The papers characteristic either theoretical study and real-world case experiences from academia, company and govt targeting components comparable to: belief versions, social and behavioral elements of belief, belief in networks, cellular structures and cloud computation, privateness, popularity structures, and identification management.

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Extra resources for Trust Management V: 5th IFIP WG 11.11 International Conference, IFIPTM 2011, Copenhagen, Denmark, June 29 – July 1, 2011. Proceedings

Sample text

P. van Maanen decision of the trust model M (either independent or relative) given an experience e and candidate parameter vector X (reliance on either one of the trustees), δX is the distance between the estimated and actual reliance decisions given a certain candidate parameter vector X, δbest is the distance resulting from the best parameter vector Xbest found so far. The best parameter vector Xbest is returned when the algorithm finishes. This parameter adaptation procedure was implemented in C#.

In this paper, the results of a validation experiment for two existing computational trust models describing human trust are reported. One model uses experiences of performance in order to estimate the trust in different trustees. The second model in addition carries the notion of relative trust. The idea of relative trust is that trust in a certain trustee not solely depends on the experiences with that trustee, but also on trustees that are considered competitors of that trustee. In order to validate the models, parameter adaptation has been used to tailor the models towards human behavior.

While it is quite reasonable to expect that an attacker intelligently adjusts its behaviour to the policies in place, the simulated attacker behaviour that we have observed so far is far from optimal. It is revealing that the most simple baseline attack against reputation systems, one where an attacker first gains reputation through good behaviour and then uses it up with bad behaviour, is dubbed the “disturbing” attacker model by Schlosser et al. [10]. The name reflects how poorly the compared systems could handle strategic changes in behaviour.

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Trust Management V: 5th IFIP WG 11.11 International Conference, IFIPTM 2011, Copenhagen, Denmark, June 29 – July 1, 2011. Proceedings by Dieter Gollmann (auth.), Ian Wakeman, Ehud Gudes, Christian Damsgaard Jensen, Jason Crampton (eds.)


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