Personalized Composition of Trustful Reputation Systems - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Personalized Composition of Trustful Reputation Systems

Christian Richthammer
  • Fonction : Auteur
  • PersonId : 996051
André Kremser
  • Fonction : Auteur
  • PersonId : 1029906
Günther Pernul
  • Fonction : Auteur
  • PersonId : 996053

Résumé

The vast amount of computation techniques for reputation systems proposed in the past has resulted in a need for a global online trust repository with reusable components. In order to increase the practical usability of such a repository, we propose a software framework that supports the user in selecting appropriate components and automatically combines them to a fully functional computation engine. On the one hand, this lets developers experiment with different concepts and move away from one single static computation engine. On the other hand, our software framework also enables an explorative trust evaluation through user interaction. In this way, we notably increase the transparency of reputation systems. To demonstrate the practical applicability of our proposal, we present realistic use cases and describe how it would be employed in these scenarios.
Fichier principal
Vignette du fichier
340025_1_En_13_Chapter.pdf (400.08 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01745829 , version 1 (28-03-2018)

Licence

Paternité

Identifiants

Citer

Johannes Sänger, Christian Richthammer, André Kremser, Günther Pernul. Personalized Composition of Trustful Reputation Systems. 29th IFIP Annual Conference on Data and Applications Security and Privacy (DBSEC), Jul 2015, Fairfax, VA, United States. pp.207-214, ⟨10.1007/978-3-319-20810-7_13⟩. ⟨hal-01745829⟩
238 Consultations
85 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More